From 7c833a3ee62ee816ad0b67342b1f9d8bb082f2c3 Mon Sep 17 00:00:00 2001 From: aymericdamien Date: Sun, 11 Aug 2019 00:17:02 -0700 Subject: [PATCH 01/10] update list --- README.md | 442 +++++++++++++++++++++++++++++++++----- scripts/generate_stats.py | 109 ++++++++++ 2 files changed, 492 insertions(+), 59 deletions(-) create mode 100644 scripts/generate_stats.py diff --git a/README.md b/README.md index 72ab906..aec8049 100644 --- a/README.md +++ b/README.md @@ -1,64 +1,388 @@ # Top Deep Learning Projects A list of popular github projects related to deep learning (ranked by stars). -Last Update: 2016.08.09 +Last Update: 2018.08.11 -| Project Name| Stars | Description | +| Project Name | Stars | Description | | ------- | ------ | ------ | -| [TensorFlow](https://github.com/tensorflow/tensorflow) | 29622 | Computation using data flow graphs for scalable machine learning. -| [Caffe](https://github.com/BVLC/caffe) | 11799 | Caffe: a fast open framework for deep learning. -| [Neural Style](https://github.com/jcjohnson/neural-style) | 10148 | Torch implementation of neural style algorithm. -| [Deep Dream](https://github.com/google/deepdream) | 9042 | Deep Dream. -| [Keras](https://github.com/fchollet/keras) | 7502 | Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow. -| [Roc AlphaGo](https://github.com/Rochester-NRT/RocAlphaGo) | 7170 | An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016). -| [TensorFlow Models](https://github.com/tensorflow/models) | 6671 | Models built with TensorFlow -| [Neural Doodle](https://github.com/alexjc/neural-doodle) | 6275 | Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.) -| [CNTK](https://github.com/Microsoft/CNTK) | 5957 | Computational Network Toolkit (CNTK). -| [TensorFlow Examples](https://github.com/aymericdamien/TensorFlow-Examples) | 5872 | TensorFlow tutorials and code examples for beginners. -| [ConvNet JS](https://github.com/karpathy/convnetjs) | 5231 | Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. -| [Torch](https://github.com/torch/torch7) | 5133 | Torch7, Deep Learning Library. -| [OpenFace](https://github.com/cmusatyalab/openface) | 4855 | Face recognition with deep neural networks. -| [MXNet](https://github.com/dmlc/mxnet) | 4685 | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more. -| [Theano](https://github.com/Theano/Theano) | 4286 | Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation. -| [Leaf](https://github.com/autumnai/leaf) | 4281 | Open Machine Intelligence Framework for Hackers. -| [Char RNN](https://github.com/karpathy/char-rnn) | 3820 | Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. -| [Neural Talk](https://github.com/karpathy/neuraltalk) | 3694 | NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences. -| [deeplearning4j](https://github.com/deeplearning4j/deeplearning4j) | 3673 | Deep Learning for Java, Scala & Clojure on Hadoop, Spark. -| [TFLearn](https://github.com/tflearn/tflearn) | 3368 | Deep learning library featuring a higher-level API for TensorFlow. -| [TensorFlow Playground](https://github.com/tensorflow/playground) | 3352 | Play with neural networks! -| [OpenAI Gym](https://github.com/openai/gym) | 3020 | A toolkit for developing and comparing reinforcement learning algorithms. -| [Magenta](https://github.com/tensorflow/magenta) | 2914 | Magenta: Music and Art Generation with Machine Intelligence -| [Colornet](https://github.com/pavelgonchar/colornet) | 2798 | Neural Network to colorize grayscale images. -| [Synaptic](https://github.com/cazala/synaptic) | 2666 | architecture-free neural network library for node.js and the browser -| [Neural Talk 2](https://github.com/karpathy/neuraltalk2) | 2550 | Efficient Image Captioning code in Torch, runs on GPU. -| [Image Analogies](https://github.com/awentzonline/image-analogies) | 2540 | Generate image analogies using neural matching and blending. -| [TensorFlow Tutorials](https://github.com/pkmital/tensorflow_tutorials) | 2413 | From the basics to slightly more interesting applications of Tensorflow. -| [Lasagne](https://github.com/Lasagne/Lasagne) | 2355 | Lightweight library to build and train neural networks in Theano. -| [PyLearn2](https://github.com/lisa-lab/pylearn2) | 2153 | A Machine Learning library based on Theano. -| [LISA-lab Deep Learning Tutorials](https://github.com/lisa-lab/DeepLearningTutorials) | 2134 | Deep Learning Tutorial notes and code. See the wiki for more info. -| [Neon](https://github.com/NervanaSystems/neon) | 2121 | Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™. -| [Matlab Deep Learning Toolbox](https://github.com/rasmusbergpalm/DeepLearnToolbox) | 2032 | Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started. -| [Deep Learning Flappy Bird](https://github.com/yenchenlin1994/DeepLearningFlappyBird) | 1721 | Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning). -| [dl-setup](https://github.com/saiprashanths/dl-setup) | 1607 | Instructions for setting up the software on your deep learning machine. -| [Chainer](https://github.com/pfnet/chainer) | 1573 | A flexible framework of neural networks for deep learning. -| [Neural Story Teller](https://github.com/ryankiros/neural-storyteller) | 1514 | A recurrent neural network for generating little stories about images. -| [DIGITS](https://github.com/NVIDIA/DIGITS) | 1353 | Deep Learning GPU Training System. -| [Deep Jazz](https://github.com/jisungk/deepjazz) | 1229 | Deep learning driven jazz generation using Keras & Theano! -| [Tiny DNN](https://github.com/tiny-dnn/tiny-dnn) | 1183 | header only, dependency-free deep learning framework in C++11 -| [Brainstorm](https://github.com/IDSIA/brainstorm) | 1143 | Fast, flexible and fun neural networks. -| [dl-docker](https://github.com/saiprashanths/dl-docker) | 1044 | An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.). -| [Darknet](https://github.com/pjreddie/darknet) | 937 | Open Source Neural Networks in C -| [Theano Tutorials](https://github.com/Newmu/Theano-Tutorials) | 904 | Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano. -| [RNN Music Composition](https://github.com/hexahedria/biaxial-rnn-music-composition) | 904 | A recurrent neural network designed to generate classical music. -| [Blocks](https://github.com/mila-udem/blocks) | 866 | A Theano framework for building and training neural networks. -| [TDB](https://github.com/ericjang/tdb) | 860 | Interactive, node-by-node debugging and visualization for TensorFlow. -| [Scikit Neural Net](https://github.com/aigamedev/scikit-neuralnetwork) | 849 | Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn. -| [Veles](https://github.com/samsung/veles) | 760 | Distributed machine learning platform (Python, CUDA, OpenCL) -| [Deep Detect](https://github.com/beniz/deepdetect) | 759 | Deep Learning API and Server in C++11 with Python bindings and support for Caffe. -| [TensorFlow DeepQ](https://github.com/nivwusquorum/tensorflow-deepq) | 759 | A deep Q learning demonstration using Google Tensorflow. -| [Caffe on Spark](https://github.com/yahoo/CaffeOnSpark) | 724 | Caffe On Spark. -| [Nolearn](https://github.com/dnouri/nolearn) | 702 | Abstractions around neural net libraries, most notably Lasagne. -| [DCGAN TensorFlow](https://github.com/carpedm20/DCGAN-tensorflow) | 568 | A tensorflow implementation of Deep Convolutional Generative Adversarial Networks -| [MatConvNet](https://github.com/vlfeat/matconvnet)| 479 | MATLAB CNN toolbox for computer vision applications. -| [DeepCL](https://github.com/hughperkins/DeepCL)| 413 | OpenCL library to train deep convolutional neural networks. -| [Visual Search Server](https://github.com/AKSHAYUBHAT/VisualSearchServer)| 304 | Visual Search using Tensorflow inception model & Approximate Nearest Neighbors. +|[https://github.com/tensorflow/tensorflow](tensorflow/tensorflow)|132k|An Open Source Machine Learning Framework for Everyone| +|[https://github.com/tensorflow/models](tensorflow/models)|56.3k|Models and examples built with TensorFlow| +|[https://github.com/keras-team/keras](keras-team/keras)|43.4k|Deep Learning for humans| +|[https://github.com/josephmisiti/awesome-machine-learning](josephmisiti/awesome-machine-learning)|41.2k|A curated list of awesome Machine Learning frameworks, libraries and software.| +|[https://github.com/scikit-learn/scikit-learn](scikit-learn/scikit-learn)|36.5k|scikit-learn: machine learning in Python| +|[https://github.com/aymericdamien/TensorFlow-Examples](aymericdamien/TensorFlow-Examples)|33.3k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| +|[https://github.com/scutan90/DeepLearning-500-questions](scutan90/DeepLearning-500-questions)|32.4k|深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续.....…| +|[https://github.com/pytorch/pytorch](pytorch/pytorch)|30.7k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| +|[https://github.com/BVLC/caffe](BVLC/caffe)|28.8k|Caffe: a fast open framework for deep learning.| +|[https://github.com/exacity/deeplearningbook-chinese](exacity/deeplearningbook-chinese)|25.8k|Deep Learning Book Chinese Translation| +|[https://github.com/imhuay/Algorithm_Interview_Notes-Chinese](imhuay/Algorithm_Interview_Notes-Chinese)|25.7k|2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记| +|[https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap](floodsung/Deep-Learning-Papers-Reading-Roadmap)|23.7k|Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!| +|[https://github.com/xitu/gold-miner](xitu/gold-miner)|23.3k|🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：| +|[https://github.com/ZuzooVn/machine-learning-for-software-engineers](ZuzooVn/machine-learning-for-software-engineers)|22.3k|A complete daily plan for studying to become a machine learning engineer.| +|[https://github.com/GokuMohandas/practicalAI](GokuMohandas/practicalAI)|19.5k|📚 A practical approach to machine learning.| +|[https://github.com/terryum/awesome-deep-learning-papers](terryum/awesome-deep-learning-papers)|19.5k|The most cited deep learning papers| +|[https://github.com/apache/incubator-mxnet](apache/incubator-mxnet)|17.5k|Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;…| +|[https://github.com/google-research/bert](google-research/bert)|17.3k|TensorFlow code and pre-trained models for BERT| +|[https://github.com/microsoft/CNTK](microsoft/CNTK)|16.3k|Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit| +|[https://github.com/donnemartin/data-science-ipython-notebooks](donnemartin/data-science-ipython-notebooks)|16.2k|Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spar…| +|[https://github.com/ageron/handson-ml](ageron/handson-ml)|16.2k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …| +|[https://github.com/fastai/fastai](fastai/fastai)|15k|The fastai deep learning library, plus lessons and tutorials| +|[https://github.com/jtoy/awesome-tensorflow](jtoy/awesome-tensorflow)|14.8k|TensorFlow - A curated list of dedicated resources http://tensorflow.org| +|[https://github.com/matterport/Mask_RCNN](matterport/Mask_RCNN)|13.4k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow| +|[https://github.com/ChristosChristofidis/awesome-deep-learning](ChristosChristofidis/awesome-deep-learning)|13.3k|A curated list of awesome Deep Learning tutorials, projects and communities.| +|[https://github.com/MLEveryday/100-Days-Of-ML-Code](MLEveryday/100-Days-Of-ML-Code)|12.9k|100-Days-Of-ML-Code中文版| +|[https://github.com/machinelearningmindset/TensorFlow-Course](machinelearningmindset/TensorFlow-Course)|12.9k|Simple and ready-to-use tutorials for TensorFlow| +|[https://github.com/ty4z2008/Qix](ty4z2008/Qix)|12.8k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang| +|[https://github.com/trekhleb/homemade-machine-learning](trekhleb/homemade-machine-learning)|12.8k|🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained| +|[https://github.com/yunjey/pytorch-tutorial](yunjey/pytorch-tutorial)|12.8k|PyTorch Tutorial for Deep Learning Researchers| +|[https://github.com/kailashahirwar/cheatsheets-ai](kailashahirwar/cheatsheets-ai)|12.5k|Essential Cheat Sheets for deep learning and machine learning researchers| +|[https://github.com/apache/predictionio](apache/predictionio)|12k|PredictionIO, a machine learning server for developers and ML engineers.| +|[https://github.com/eriklindernoren/ML-From-Scratch](eriklindernoren/ML-From-Scratch)|11.8k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| +|[https://github.com/virgili0/Virgilio](virgili0/Virgilio)|11.5k|Your new Mentor for Data Science E-Learning.| +|[https://github.com/dennybritz/reinforcement-learning](dennybritz/reinforcement-learning)|11.5k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| +|[https://github.com/fighting41love/funNLP](fighting41love/funNLP)|11.4k|新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增…| +|[https://github.com/jikexueyuanwiki/tensorflow-zh](jikexueyuanwiki/tensorflow-zh)|11.1k|谷歌全新开源人工智能系统TensorFlow官方文档中文版| +|[https://github.com/eclipse/deeplearning4j](eclipse/deeplearning4j)|11k|Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark| +|[https://github.com/mozilla/DeepSpeech](mozilla/DeepSpeech)|10.9k|A TensorFlow implementation of Baidu's DeepSpeech architecture| +|[https://github.com/huggingface/pytorch-transformers](huggingface/pytorch-transformers)|10.6k|👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)| +|[https://github.com/rasbt/python-machine-learning-book](rasbt/python-machine-learning-book)|10.1k|The "Python Machine Learning (1st edition)" book code repository and info resource| +|[https://github.com/mnielsen/neural-networks-and-deep-learning](mnielsen/neural-networks-and-deep-learning)|9.8k|Code samples for my book "Neural Networks and Deep Learning"| +|[https://github.com/karpathy/convnetjs](karpathy/convnetjs)|9.8k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.| +|[https://github.com/NVIDIA/FastPhotoStyle](NVIDIA/FastPhotoStyle)|9.8k|Style transfer, deep learning, feature transform| +|[https://github.com/pytorch/examples](pytorch/examples)|9.7k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.| +|[https://github.com/PaddlePaddle/Paddle](PaddlePaddle/Paddle)|9.6k|PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）| +|[https://github.com/hangtwenty/dive-into-machine-learning](hangtwenty/dive-into-machine-learning)|9.5k|Dive into Machine Learning with Python Jupyter notebook and scikit-learn!| +|[https://github.com/alexjc/neural-enhance](alexjc/neural-enhance)|9.4k|Super Resolution for images using deep learning.| +|[https://github.com/ujjwalkarn/Machine-Learning-Tutorials](ujjwalkarn/Machine-Learning-Tutorials)|9.3k|machine learning and deep learning tutorials, articles and other resources| +|[https://github.com/microsoft/LightGBM](microsoft/LightGBM)|9.3k|A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tr…| +|[https://github.com/tflearn/tflearn](tflearn/tflearn)|9.2k|Deep learning library featuring a higher-level API for TensorFlow.| +|[https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix](junyanz/pytorch-CycleGAN-and-pix2pix)|9.2k|Image-to-Image Translation in PyTorch| +|[https://github.com/nndl/nndl.github.io](nndl/nndl.github.io)|9.1k|《神经网络与深度学习》 Neural Network and Deep Learning| +|[https://github.com/rasbt/deeplearning-models](rasbt/deeplearning-models)|9k|A collection of various deep learning architectures, models, and tips| +|[https://github.com/afshinea/stanford-cs-229-machine-learning](afshinea/stanford-cs-229-machine-learning)|8.9k|VIP cheatsheets for Stanford's CS 229 Machine Learning| +|[https://github.com/apple/turicreate](apple/turicreate)|8.9k|Turi Create simplifies the development of custom machine learning models.| +|[https://github.com/chiphuyen/stanford-tensorflow-tutorials](chiphuyen/stanford-tensorflow-tutorials)|8.8k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| +|[https://github.com/davidsandberg/facenet](davidsandberg/facenet)|8.8k|Face recognition using Tensorflow| +|[https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems](RedditSota/state-of-the-art-result-for-machine-learning-problems)|8.7k|This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep th…| +|[https://github.com/gunthercox/ChatterBot](gunthercox/ChatterBot)|8.7k|ChatterBot is a machine learning, conversational dialog engine for creating chat bots| +|[https://github.com/tensorflow/tensor2tensor](tensorflow/tensor2tensor)|8.5k|Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.| +|[https://github.com/facebookarchive/caffe2](facebookarchive/caffe2)|8.5k|Caffe2 is a lightweight, modular, and scalable deep learning framework.| +|[https://github.com/vahidk/EffectiveTensorflow](vahidk/EffectiveTensorflow)|8.4k|TensorFlow 1.x and 2.x tutorials and best practices.| +|[https://github.com/kjw0612/awesome-deep-vision](kjw0612/awesome-deep-vision)|8.4k|A curated list of deep learning resources for computer vision| +|[https://github.com/deeppomf/DeepCreamPy](deeppomf/DeepCreamPy)|8.3k|Decensoring Hentai with Deep Neural Networks| +|[https://github.com/lengstrom/fast-style-transfer](lengstrom/fast-style-transfer)|8.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| +|[https://github.com/google/dopamine](google/dopamine)|8.2k|Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.| +|[https://github.com/deepmind/sonnet](deepmind/sonnet)|7.8k|TensorFlow-based neural network library| +|[https://github.com/davisking/dlib](davisking/dlib)|7.7k|A toolkit for making real world machine learning and data analysis applications in C++| +|[https://github.com/fchollet/deep-learning-with-python-notebooks](fchollet/deep-learning-with-python-notebooks)|7.7k|Jupyter notebooks for the code samples of the book "Deep Learning with Python"| +|[https://github.com/bharathgs/Awesome-pytorch-list](bharathgs/Awesome-pytorch-list)|7.6k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…| +|[https://github.com/rushter/MLAlgorithms](rushter/MLAlgorithms)|7.6k|Minimal and clean examples of machine learning algorithms implementations| +|[https://github.com/NVlabs/stylegan](NVlabs/stylegan)|7.5k|StyleGAN - Official TensorFlow Implementation| +|[https://github.com/Hvass-Labs/TensorFlow-Tutorials](Hvass-Labs/TensorFlow-Tutorials)|7.5k|TensorFlow Tutorials with YouTube Videos| +|[https://github.com/jantic/DeOldify](jantic/DeOldify)|7.4k|A Deep Learning based project for colorizing and restoring old images (and video!)| +|[https://github.com/kubeflow/kubeflow](kubeflow/kubeflow)|7.3k|Machine Learning Toolkit for Kubernetes| +|[https://github.com/php-ai/php-ml](php-ai/php-ml)|7.3k|PHP-ML - Machine Learning library for PHP| +|[https://github.com/horovod/horovod](horovod/horovod)|7.2k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| +|[https://github.com/clips/pattern](clips/pattern)|7.1k|Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysi…| +|[https://github.com/vdumoulin/conv_arithmetic](vdumoulin/conv_arithmetic)|7.1k|A technical report on convolution arithmetic in the context of deep learning| +|[https://github.com/zalandoresearch/flair](zalandoresearch/flair)|6.9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)| +|[https://github.com/allenai/allennlp](allenai/allennlp)|6.8k|An open-source NLP research library, built on PyTorch.| +|[https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months](llSourcell/Learn_Machine_Learning_in_3_Months)|6.7k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube| +|[https://github.com/sjwhitworth/golearn](sjwhitworth/golearn)|6.7k|Machine Learning for Go| +|[https://github.com/aleju/imgaug](aleju/imgaug)|6.7k|Image augmentation for machine learning experiments.| +|[https://github.com/NVIDIA/vid2vid](NVIDIA/vid2vid)|6.7k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| +|[https://github.com/justadudewhohacks/face-api.js](justadudewhohacks/face-api.js)|6.6k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js| +|[https://github.com/MorvanZhou/tutorials](MorvanZhou/tutorials)|6.6k|机器学习相关教程| +|[https://github.com/zergtant/pytorch-handbook](zergtant/pytorch-handbook)|6.6k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行| +|[https://github.com/onnx/onnx](onnx/onnx)|6.6k|Open Neural Network Exchange| +|[https://github.com/janishar/mit-deep-learning-book-pdf](janishar/mit-deep-learning-book-pdf)|6.5k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| +|[https://github.com/VowpalWabbit/vowpal_wabbit](VowpalWabbit/vowpal_wabbit)|6.5k|Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as onli…| +|[https://github.com/Unity-Technologies/ml-agents](Unity-Technologies/ml-agents)|6.5k|Unity Machine Learning Agents Toolkit| +|[https://github.com/dotnet/machinelearning](dotnet/machinelearning)|6.3k|ML.NET is an open source and cross-platform machine learning framework for .NET.| +|[https://github.com/marcotcr/lime](marcotcr/lime)|6.3k|Lime: Explaining the predictions of any machine learning classifier| +|[https://github.com/ddbourgin/numpy-ml](ddbourgin/numpy-ml)|6.3k|Machine learning, in numpy| +|[https://github.com/facebookresearch/maskrcnn-benchmark](facebookresearch/maskrcnn-benchmark)|6.2k|Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.| +|[https://github.com/EpistasisLab/tpot](EpistasisLab/tpot)|6.1k|A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.| +|[https://github.com/RasaHQ/rasa](RasaHQ/rasa)|6.1k|💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, c…| +|[https://github.com/slundberg/shap](slundberg/shap)|6.1k|A unified approach to explain the output of any machine learning model.| +|[https://github.com/carpedm20/DCGAN-tensorflow](carpedm20/DCGAN-tensorflow)|6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"| +|[https://github.com/kmario23/deep-learning-drizzle](kmario23/deep-learning-drizzle)|5.8k|Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from…| +|[https://github.com/keras-team/autokeras](keras-team/autokeras)|5.8k|Accessible AutoML for deep learning.| +|[https://github.com/nlintz/TensorFlow-Tutorials](nlintz/TensorFlow-Tutorials)|5.8k|Simple tutorials using Google's TensorFlow Framework| +|[https://github.com/machinelearningmindset/machine-learning-course](machinelearningmindset/machine-learning-course)|5.8k|💬 Machine Learning Course with Python. Refer to the course page for step-by-step explanations.| +|[https://github.com/hoya012/deep_learning_object_detection](hoya012/deep_learning_object_detection)|5.7k|A paper list of object detection using deep learning.| +|[https://github.com/lutzroeder/netron](lutzroeder/netron)|5.7k|Visualizer for neural network, deep learning and machine learning models| +|[https://github.com/open-mmlab/mmdetection](open-mmlab/mmdetection)|5.6k|Open MMLab Detection Toolbox and Benchmark| +|[https://github.com/Swift-AI/Swift-AI](Swift-AI/Swift-AI)|5.6k|The Swift machine learning library.| +|[https://github.com/lexfridman/mit-deep-learning](lexfridman/mit-deep-learning)|5.6k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| +|[https://github.com/PAIR-code/facets](PAIR-code/facets)|5.6k|Visualizations for machine learning datasets| +|[https://github.com/uber/ludwig](uber/ludwig)|5.5k|Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to…| +|[https://github.com/iperov/DeepFaceLab](iperov/DeepFaceLab)|5.5k|DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work stan…| +|[https://github.com/pyro-ppl/pyro](pyro-ppl/pyro)|5.5k|Deep universal probabilistic programming with Python and PyTorch| +|[https://github.com/guess-js/guess](guess-js/guess)|5.4k|Libraries & tools for enabling Machine Learning driven user-experiences on the web| +|[https://github.com/lanpa/tensorboardX](lanpa/tensorboardX)|5.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| +|[https://github.com/fchollet/deep-learning-models](fchollet/deep-learning-models)|5.4k|Keras code and weights files for popular deep learning models.| +|[https://github.com/tensorlayer/tensorlayer](tensorlayer/tensorlayer)|5.4k|Deep Learning and Reinforcement Learning Library for Scientists| +|[https://github.com/chenyuntc/pytorch-book](chenyuntc/pytorch-book)|5.4k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation| +|[https://github.com/wiseodd/generative-models](wiseodd/generative-models)|5.3k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| +|[https://github.com/pkmital/tensorflow_tutorials](pkmital/tensorflow_tutorials)|5.3k|From the basics to slightly more interesting applications of Tensorflow| +|[https://github.com/yenchenlin/DeepLearningFlappyBird](yenchenlin/DeepLearningFlappyBird)|5.3k|Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).| +|[https://github.com/bulletphysics/bullet3](bulletphysics/bullet3)|5.3k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| +|[https://github.com/facebookresearch/pytext](facebookresearch/pytext)|5.3k|A natural language modeling framework based on PyTorch| +|[https://github.com/nfmcclure/tensorflow_cookbook](nfmcclure/tensorflow_cookbook)|5.1k|Code for Tensorflow Machine Learning Cookbook| +|[https://github.com/DmitryUlyanov/deep-image-prior](DmitryUlyanov/deep-image-prior)|5k|Image restoration with neural networks but without learning.| +|[https://github.com/david-gpu/srez](david-gpu/srez)|5k|Image super-resolution through deep learning| +|[https://github.com/ufoym/deepo](ufoym/deepo)|5k|Set up deep learning environment in a single command line.| +|[https://github.com/brightmart/text_classification](brightmart/text_classification)|5k|all kinds of text classification models and more with deep learning| +|[https://github.com/chainer/chainer](chainer/chainer)|5k|A flexible framework of neural networks for deep learning| +|[https://github.com/thtrieu/darkflow](thtrieu/darkflow)|5k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def …| +|[https://github.com/pytorch/fairseq](pytorch/fairseq)|4.9k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| +|[https://github.com/hanxiao/bert-as-service](hanxiao/bert-as-service)|4.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model| +|[https://github.com/dennybritz/cnn-text-classification-tf](dennybritz/cnn-text-classification-tf)|4.9k|Convolutional Neural Network for Text Classification in Tensorflow| +|[https://github.com/google/seq2seq](google/seq2seq)|4.9k|A general-purpose encoder-decoder framework for Tensorflow| +|[https://github.com/Cadene/pretrained-models.pytorch](Cadene/pretrained-models.pytorch)|4.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.| +|[https://github.com/rusty1s/pytorch_geometric](rusty1s/pytorch_geometric)|4.8k|Geometric Deep Learning Extension Library for PyTorch| +|[https://github.com/humphd/have-fun-with-machine-learning](humphd/have-fun-with-machine-learning)|4.8k|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks| +|[https://github.com/vipstone/faceai](vipstone/faceai)|4.8k|一款入门级的人脸、视频、文字检测以及识别的项目.| +|[https://github.com/tensorflow/nmt](tensorflow/nmt)|4.8k|TensorFlow Neural Machine Translation Tutorial| +|[https://github.com/anishathalye/neural-style](anishathalye/neural-style)|4.8k|Neural style in TensorFlow! 🎨| +|[https://github.com/tensorpack/tensorpack](tensorpack/tensorpack)|4.7k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility| +|[https://github.com/transcranial/keras-js](transcranial/keras-js)|4.6k|Run Keras models in the browser, with GPU support using WebGL| +|[https://github.com/airbnb/aerosolve](airbnb/aerosolve)|4.6k|A machine learning package built for humans.| +|[https://github.com/rasbt/python-machine-learning-book-2nd-edition](rasbt/python-machine-learning-book-2nd-edition)|4.5k|The "Python Machine Learning (2nd edition)" book code repository and info resource| +|[https://github.com/tensorflow/swift](tensorflow/swift)|4.5k|Swift for TensorFlow Project Home Page| +|[https://github.com/astorfi/TensorFlow-World](astorfi/TensorFlow-World)|4.4k|🌎 Simple and ready-to-use tutorials for TensorFlow| +|[https://github.com/BinRoot/TensorFlow-Book](BinRoot/TensorFlow-Book)|4.3k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.| +|[https://github.com/zihangdai/xlnet](zihangdai/xlnet)|4.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| +|[https://github.com/blei-lab/edward](blei-lab/edward)|4.3k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| +|[https://github.com/Alluxio/alluxio](Alluxio/alluxio)|4.3k|Alluxio, data orchestration for analytics and machine learning in the cloud| +|[https://github.com/yunjey/stargan](yunjey/stargan)|4k|Official PyTorch Implementation of StarGAN - CVPR 2018| +|[https://github.com/keras-rl/keras-rl](keras-rl/keras-rl)|4k|Deep Reinforcement Learning for Keras.| +|[https://github.com/tensorspace-team/tensorspace](tensorspace-team/tensorspace)|3.9k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained dee…| +|[https://github.com/microsoft/MMdnn](microsoft/MMdnn)|3.9k|MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion a…| +|[https://github.com/ashnkumar/sketch-code](ashnkumar/sketch-code)|3.9k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| +|[https://github.com/jwyang/faster-rcnn.pytorch](jwyang/faster-rcnn.pytorch)|3.9k|A faster pytorch implementation of faster r-cnn| +|[https://github.com/eriklindernoren/PyTorch-GAN](eriklindernoren/PyTorch-GAN)|3.8k|PyTorch implementations of Generative Adversarial Networks.| +|[https://github.com/graykode/nlp-tutorial](graykode/nlp-tutorial)|3.8k|Natural Language Processing Tutorial for Deep Learning Researchers| +|[https://github.com/NVIDIA/pix2pixHD](NVIDIA/pix2pixHD)|3.8k|Synthesizing and manipulating 2048x1024 images with conditional GANs| +|[https://github.com/photoprism/photoprism](photoprism/photoprism)|3.8k|Personal Photo Management powered by Go and Google TensorFlow| +|[https://github.com/ritchieng/the-incredible-pytorch](ritchieng/the-incredible-pytorch)|3.8k|The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.| +|[https://github.com/PipelineAI/pipeline](PipelineAI/pipeline)|3.7k|PipelineAI: Real-Time Enterprise AI Platform| +|[https://github.com/tensorflow/serving](tensorflow/serving)|3.7k|A flexible, high-performance serving system for machine learning models| +|[https://github.com/OpenMined/PySyft](OpenMined/PySyft)|3.7k|A library for encrypted, privacy preserving deep learning| +|[https://github.com/hunkim/DeepLearningZeroToAll](hunkim/DeepLearningZeroToAll)|3.6k|TensorFlow Basic Tutorial Labs| +|[https://github.com/deepmind/graph_nets](deepmind/graph_nets)|3.6k|Build Graph Nets in Tensorflow| +|[https://github.com/spro/practical-pytorch](spro/practical-pytorch)|3.5k|PyTorch tutorials demonstrating modern techniques with readable code| +|[https://github.com/naturomics/CapsNet-Tensorflow](naturomics/CapsNet-Tensorflow)|3.5k|A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules| +|[https://github.com/xitu/tensorflow-docs](xitu/tensorflow-docs)|3.5k|TensorFlow 最新官方文档中文版| +|[https://github.com/MorvanZhou/PyTorch-Tutorial](MorvanZhou/PyTorch-Tutorial)|3.5k|Build your neural network easy and fast| +|[https://github.com/deepmipt/DeepPavlov](deepmipt/DeepPavlov)|3.3k|An open source library for deep learning end-to-end dialog systems and chatbots.| +|[https://github.com/MorvanZhou/Tensorflow-Tutorial](MorvanZhou/Tensorflow-Tutorial)|3.3k|Tensorflow tutorial from basic to hard| +|[https://github.com/balancap/SSD-Tensorflow](balancap/SSD-Tensorflow)|3.3k|Single Shot MultiBox Detector in TensorFlow| +|[https://github.com/yandexdataschool/Practical_RL](yandexdataschool/Practical_RL)|3.3k|A course in reinforcement learning in the wild| +|[https://github.com/hwalsuklee/tensorflow-generative-model-collections](hwalsuklee/tensorflow-generative-model-collections)|3.3k|Collection of generative models in Tensorflow| +|[https://github.com/OpenNMT/OpenNMT-py](OpenNMT/OpenNMT-py)|3.3k|Open Source Neural Machine Translation in PyTorch| +|[https://github.com/yahoo/TensorFlowOnSpark](yahoo/TensorFlowOnSpark)|3.2k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| +|[https://github.com/apachecn/hands-on-ml-zh](apachecn/hands-on-ml-zh)|3.1k|📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】| +|[https://github.com/cchen156/Learning-to-See-in-the-Dark](cchen156/Learning-to-See-in-the-Dark)|3.1k|Learning to See in the Dark. CVPR 2018| +|[https://github.com/1adrianb/face-alignment](1adrianb/face-alignment)|3k|🔥 2D and 3D Face alignment library build using pytorch| +|[https://github.com/jcjohnson/pytorch-examples](jcjohnson/pytorch-examples)|3k|Simple examples to introduce PyTorch| +|[https://github.com/jadore801120/attention-is-all-you-need-pytorch](jadore801120/attention-is-all-you-need-pytorch)|3k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| +|[https://github.com/MVIG-SJTU/AlphaPose](MVIG-SJTU/AlphaPose)|3k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| +|[https://github.com/CorentinJ/Real-Time-Voice-Cloning](CorentinJ/Real-Time-Voice-Cloning)|3k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| +|[https://github.com/MrGemy95/Tensorflow-Project-Template](MrGemy95/Tensorflow-Project-Template)|3k|A best practice for tensorflow project template architecture.| +|[https://github.com/endernewton/tf-faster-rcnn](endernewton/tf-faster-rcnn)|2.9k|Tensorflow Faster RCNN for Object Detection| +|[https://github.com/vespa-engine/vespa](vespa-engine/vespa)|2.9k|Vespa is an engine for low-latency computation over large data sets.| +|[https://github.com/minimaxir/textgenrnn](minimaxir/textgenrnn)|2.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| +|[https://github.com/CharlesShang/FastMaskRCNN](CharlesShang/FastMaskRCNN)|2.9k|Mask RCNN in TensorFlow| +|[https://github.com/tensorflow/lucid](tensorflow/lucid)|2.8k|A collection of infrastructure and tools for research in neural network interpretability.| +|[https://github.com/NirantK/awesome-project-ideas](NirantK/awesome-project-ideas)|2.8k|Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas| +|[https://github.com/easy-tensorflow/easy-tensorflow](easy-tensorflow/easy-tensorflow)|2.8k|Simple and comprehensive tutorials in TensorFlow| +|[https://github.com/tensorflow/adanet](tensorflow/adanet)|2.8k|Fast and flexible AutoML with learning guarantees.| +|[https://github.com/handong1587/handong1587.github.io](handong1587/handong1587.github.io)|2.7k|| +|[https://github.com/jinfagang/tensorflow_poems](jinfagang/tensorflow_poems)|2.7k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！| +|[https://github.com/codertimo/BERT-pytorch](codertimo/BERT-pytorch)|2.7k|Google AI 2018 BERT pytorch implementation| +|[https://github.com/mbadry1/DeepLearning.ai-Summary](mbadry1/DeepLearning.ai-Summary)|2.7k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…| +|[https://github.com/AKSHAYUBHAT/DeepVideoAnalytics](AKSHAYUBHAT/DeepVideoAnalytics)|2.7k|A distributed visual search and visual data analytics platform.| +|[https://github.com/taki0112/Tensorflow-Cookbook](taki0112/Tensorflow-Cookbook)|2.7k|Simple Tensorflow Cookbook for easy-to-use| +|[https://github.com/hunkim/PyTorchZeroToAll](hunkim/PyTorchZeroToAll)|2.7k|Simple PyTorch Tutorials Zero to ALL!| +|[https://github.com/andri27-ts/60_Days_RL_Challenge](andri27-ts/60_Days_RL_Challenge)|2.7k|Learn Deep Reinforcement Learning in Depth in 60 days| +|[https://github.com/yusugomori/DeepLearning](yusugomori/DeepLearning)|2.7k|Deep Learning (Python, C, C++, Java, Scala, Go)| +|[https://github.com/migueldeicaza/TensorFlowSharp](migueldeicaza/TensorFlowSharp)|2.7k|TensorFlow API for .NET languages| +|[https://github.com/gorgonia/gorgonia](gorgonia/gorgonia)|2.7k|Gorgonia is a library that helps facilitate machine learning in Go.| +|[https://github.com/facebookresearch/pythia](facebookresearch/pythia)|2.7k|A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)| +|[https://github.com/NTMC-Community/MatchZoo](NTMC-Community/MatchZoo)|2.6k|Facilitating the design, comparison and sharing of deep text matching models.| +|[https://github.com/amdegroot/ssd.pytorch](amdegroot/ssd.pytorch)|2.6k|A PyTorch Implementation of Single Shot MultiBox Detector| +|[https://github.com/dmlc/dgl](dmlc/dgl)|2.6k|Python package built to ease deep learning on graph, on top of existing DL frameworks.| +|[https://github.com/pandas-profiling/pandas-profiling](pandas-profiling/pandas-profiling)|2.6k|Create HTML profiling reports from pandas DataFrame objects| +|[https://github.com/leriomaggio/deep-learning-keras-tensorflow](leriomaggio/deep-learning-keras-tensorflow)|2.6k|Introduction to Deep Neural Networks with Keras and Tensorflow| +|[https://github.com/rasbt/deep-learning-book](rasbt/deep-learning-book)|2.6k|Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …| +|[https://github.com/amusi/daily-paper-computer-vision](amusi/daily-paper-computer-vision)|2.5k|记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文| +|[https://github.com/ildoonet/tf-pose-estimation](ildoonet/tf-pose-estimation)|2.5k|Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.| +|[https://github.com/jostmey/NakedTensor](jostmey/NakedTensor)|2.5k|Bare bone examples of machine learning in TensorFlow| +|[https://github.com/hybridgroup/gocv](hybridgroup/gocv)|2.5k|Go package for computer vision using OpenCV 4 and beyond.| +|[https://github.com/zzw922cn/Automatic_Speech_Recognition](zzw922cn/Automatic_Speech_Recognition)|2.5k|End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow| +|[https://github.com/Conchylicultor/DeepQA](Conchylicultor/DeepQA)|2.5k|My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot| +|[https://github.com/makegirlsmoe/makegirlsmoe_web](makegirlsmoe/makegirlsmoe_web)|2.5k|Create Anime Characters with MakeGirlsMoe| +|[https://github.com/deeplearning-ai/machine-learning-yearning-cn](deeplearning-ai/machine-learning-yearning-cn)|2.4k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| +|[https://github.com/gaussic/text-classification-cnn-rnn](gaussic/text-classification-cnn-rnn)|2.4k|CNN-RNN中文文本分类，基于TensorFlow| +|[https://github.com/allmachinelearning/MachineLearning](allmachinelearning/MachineLearning)|2.4k|Machine learning resources| +|[https://github.com/tensorforce/tensorforce](tensorforce/tensorforce)|2.4k|Tensorforce: a TensorFlow library for applied reinforcement learning| +|[https://github.com/zeusees/HyperLPR](zeusees/HyperLPR)|2.4k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| +|[https://github.com/Tencent/tencent-ml-images](Tencent/tencent-ml-images)|2.4k|Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet| +|[https://github.com/jisungk/deepjazz](jisungk/deepjazz)|2.4k|Deep learning driven jazz generation using Keras & Theano!| +|[https://github.com/foolwood/benchmark_results](foolwood/benchmark_results)|2.4k|Visual Tracking Paper List| +|[https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition](guillaume-chevalier/LSTM-Human-Activity-Recognition)|2.3k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo…| +|[https://github.com/cysmith/neural-style-tf](cysmith/neural-style-tf)|2.3k|TensorFlow (Python API) implementation of Neural Style| +|[https://github.com/microsoft/tensorwatch](microsoft/tensorwatch)|2.3k|Debugging, monitoring and visualization for Python Machine Learning and Data Science| +|[https://github.com/stanfordnlp/stanfordnlp](stanfordnlp/stanfordnlp)|2.3k|Official Stanford NLP Python Library for Many Human Languages| +|[https://github.com/PaddlePaddle/VisualDL](PaddlePaddle/VisualDL)|2.3k|A platform to visualize the deep learning process and result.| +|[https://github.com/d2l-ai/d2l-en](d2l-ai/d2l-en)|2.3k|Dive into Deep Learning: an interactive deep learning book with code, math, and discussions| +|[https://github.com/raghakot/keras-vis](raghakot/keras-vis)|2.3k|Neural network visualization toolkit for keras| +|[https://github.com/yzhao062/pyod](yzhao062/pyod)|2.3k|A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)| +|[https://github.com/NELSONZHAO/zhihu](NELSONZHAO/zhihu)|2.3k|This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Pyt…| +|[https://github.com/eragonruan/text-detection-ctpn](eragonruan/text-detection-ctpn)|2.3k|text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network| +|[https://github.com/cloud-annotations/training](cloud-annotations/training)|2.3k|🐝 Custom Object Detection and Classification Training| +|[https://github.com/gluon-api/gluon-api](gluon-api/gluon-api)|2.3k|A clear, concise, simple yet powerful and efficient API for deep learning.| +|[https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial](CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial)|2.3k|A TensorFlow & Deep Learning online course I taught in 2016| +|[https://github.com/opencv/cvat](opencv/cvat)|2.3k|Powerful and efficient Computer Vision Annotation Tool (CVAT)| +|[https://github.com/tensorflow/probability](tensorflow/probability)|2.3k|Probabilistic reasoning and statistical analysis in TensorFlow| +|[https://github.com/rlcode/reinforcement-learning](rlcode/reinforcement-learning)|2.3k|Minimal and Clean Reinforcement Learning Examples| +|[https://github.com/ysh329/deep-learning-model-convertor](ysh329/deep-learning-model-convertor)|2.2k|The convertor/conversion of deep learning models for different deep learning frameworks/softwares.| +|[https://github.com/horance-liu/tensorflow-internals](horance-liu/tensorflow-internals)|2.2k|It is open source ebook about TensorFlow kernel and implementation mechanism.| +|[https://github.com/quark0/darts](quark0/darts)|2.2k|Differentiable architecture search for convolutional and recurrent networks| +|[https://github.com/tryolabs/luminoth](tryolabs/luminoth)|2.2k|Deep Learning toolkit for Computer Vision| +|[https://github.com/OpenNMT/OpenNMT](OpenNMT/OpenNMT)|2.2k|Open Source Neural Machine Translation in Torch| +|[https://github.com/Tencent/PocketFlow](Tencent/PocketFlow)|2.2k|An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.| +|[https://github.com/udacity/deep-learning-v2-pytorch](udacity/deep-learning-v2-pytorch)|2.1k|Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegre…| +|[https://github.com/DSKSD/DeepNLP-models-Pytorch](DSKSD/DeepNLP-models-Pytorch)|2.1k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)| +|[https://github.com/dusty-nv/jetson-inference](dusty-nv/jetson-inference)|2.1k|Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.| +|[https://github.com/richzhang/colorization](richzhang/colorization)|2.1k|Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.| +|[https://github.com/meetshah1995/pytorch-semseg](meetshah1995/pytorch-semseg)|2.1k|Semantic Segmentation Architectures Implemented in PyTorch| +|[https://github.com/charlesq34/pointnet](charlesq34/pointnet)|2.1k|PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation| +|[https://github.com/polyaxon/polyaxon](polyaxon/polyaxon)|2.1k|A platform for reproducible and scalable machine learning and deep learning on kubernetes| +|[https://github.com/smallcorgi/Faster-RCNN_TF](smallcorgi/Faster-RCNN_TF)|2.1k|Faster-RCNN in Tensorflow| +|[https://github.com/goq/telegram-list](goq/telegram-list)|2k|List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для пр…| +|[https://github.com/cleardusk/3DDFA](cleardusk/3DDFA)|2k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| +|[https://github.com/junyanz/interactive-deep-colorization](junyanz/interactive-deep-colorization)|2k|Deep learning software for colorizing black and white images with a few clicks.| +|[https://github.com/samjabrahams/tensorflow-on-raspberry-pi](samjabrahams/tensorflow-on-raspberry-pi)|2k|TensorFlow for Raspberry Pi| +|[https://github.com/NervanaSystems/nlp-architect](NervanaSystems/nlp-architect)|2k|NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techn…| +|[https://github.com/pytorch/ignite](pytorch/ignite)|2k|High-level library to help with training neural networks in PyTorch| +|[https://github.com/ultralytics/yolov3](ultralytics/yolov3)|2k|YOLOv3 in PyTorch > ONNX > CoreML > iOS| +|[https://github.com/endymecy/awesome-deeplearning-resources](endymecy/awesome-deeplearning-resources)|2k|Deep Learning and deep reinforcement learning research papers and some codes| +|[https://github.com/koth/kcws](koth/kcws)|2k|Deep Learning Chinese Word Segment| +|[https://github.com/argman/EAST](argman/EAST)|1.9k|A tensorflow implementation of EAST text detector| +|[https://github.com/ajbrock/Neural-Photo-Editor](ajbrock/Neural-Photo-Editor)|1.9k|A simple interface for editing natural photos with generative neural networks.| +|[https://github.com/paarthneekhara/text-to-image](paarthneekhara/text-to-image)|1.9k|Text to image synthesis using thought vectors| +|[https://github.com/facebookresearch/ELF](facebookresearch/ELF)|1.9k|An End-To-End, Lightweight and Flexible Platform for Game Research| +|[https://github.com/tensorflow/rust](tensorflow/rust)|1.9k|Rust language bindings for TensorFlow| +|[https://github.com/awjuliani/DeepRL-Agents](awjuliani/DeepRL-Agents)|1.9k|A set of Deep Reinforcement Learning Agents implemented in Tensorflow.| +|[https://github.com/lakshayg/tensorflow-build](lakshayg/tensorflow-build)|1.9k|TensorFlow binaries supporting AVX, FMA, SSE| +|[https://github.com/aleju/papers](aleju/papers)|1.9k|Summaries of machine learning papers| +|[https://github.com/golbin/TensorFlow-Tutorials](golbin/TensorFlow-Tutorials)|1.9k|텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다| +|[https://github.com/jolibrain/deepdetect](jolibrain/deepdetect)|1.9k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE| +|[https://github.com/fo40225/tensorflow-windows-wheel](fo40225/tensorflow-windows-wheel)|1.9k|Tensorflow prebuilt binary for Windows| +|[https://github.com/robi56/Deep-Learning-for-Recommendation-Systems](robi56/Deep-Learning-for-Recommendation-Systems)|1.9k|This repository contains Deep Learning based articles , paper and repositories for Recommender Systems| +|[https://github.com/tensorlayer/srgan](tensorlayer/srgan)|1.9k|Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network| +|[https://github.com/pannous/tensorflow-speech-recognition](pannous/tensorflow-speech-recognition)|1.9k|🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks| +|[https://github.com/salesforce/decaNLP](salesforce/decaNLP)|1.9k|The Natural Language Decathlon: A Multitask Challenge for NLP| +|[https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials)|1.9k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| +|[https://github.com/google/tangent](google/tangent)|1.9k|Source-to-Source Debuggable Derivatives in Pure Python| +|[https://github.com/shenweichen/DeepCTR](shenweichen/DeepCTR)|1.8k|Easy-to-use,Modular and Extendible package of deep-learning based CTR models.| +|[https://github.com/tensorflow/docs](tensorflow/docs)|1.8k|TensorFlow documentation| +|[https://github.com/pytorch/text](pytorch/text)|1.8k|Data loaders and abstractions for text and NLP| +|[https://github.com/astorfi/TensorFlow-Roadmap](astorfi/TensorFlow-Roadmap)|1.8k|📡 Organized & Useful Resources about Deep Learning with TensorFlow| +|[https://github.com/avinashpaliwal/Super-SloMo](avinashpaliwal/Super-SloMo)|1.8k|PyTorch implementation of Super SloMo by Jiang et al.| +|[https://github.com/simoninithomas/Deep_reinforcement_learning_Course](simoninithomas/Deep_reinforcement_learning_Course)|1.8k|Implementations from the free course Deep Reinforcement Learning with Tensorflow| +|[https://github.com/maciejkula/spotlight](maciejkula/spotlight)|1.8k|Deep recommender models using PyTorch.| +|[https://github.com/foolwood/SiamMask](foolwood/SiamMask)|1.8k|[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach| +|[https://github.com/wb14123/seq2seq-couplet](wb14123/seq2seq-couplet)|1.8k|Play couplet with seq2seq model. 用深度学习对对联。| +|[https://github.com/dmlc/gluon-nlp](dmlc/gluon-nlp)|1.7k|NLP made easy| +|[https://github.com/philipperemy/keras-attention-mechanism](philipperemy/keras-attention-mechanism)|1.7k|Attention mechanism Implementation for Keras.| +|[https://github.com/EthicalML/awesome-production-machine-learning](EthicalML/awesome-production-machine-learning)|1.7k|A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning| +|[https://github.com/wzhe06/Ad-papers](wzhe06/Ad-papers)|1.7k|Papers on Computational Advertising| +|[https://github.com/szilard/benchm-ml](szilard/benchm-ml)|1.7k|A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…| +|[https://github.com/tensorflow/lingvo](tensorflow/lingvo)|1.7k|Lingvo| +|[https://github.com/google/deepvariant](google/deepvariant)|1.7k|DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA…| +|[https://github.com/bytedance/byteps](bytedance/byteps)|1.7k|A high performance and general PS framework for distributed training| +|[https://github.com/tensorflow/hub](tensorflow/hub)|1.7k|A library for transfer learning by reusing parts of TensorFlow models.| +|[https://github.com/deepchem/deepchem](deepchem/deepchem)|1.7k|Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology| +|[https://github.com/thu-ml/zhusuan](thu-ml/zhusuan)|1.7k|A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow| +|[https://github.com/xmartlabs/Bender](xmartlabs/Bender)|1.7k|Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.| +|[https://github.com/tobegit3hub/tensorflow_template_application](tobegit3hub/tensorflow_template_application)|1.7k|TensorFlow template application for deep learning| +|[https://github.com/MrNothing/AI-Blocks](MrNothing/AI-Blocks)|1.7k|A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!| +|[https://github.com/GauravBh1010tt/DeepLearn](GauravBh1010tt/DeepLearn)|1.7k|Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.| +|[https://github.com/nl8590687/ASRT_SpeechRecognition](nl8590687/ASRT_SpeechRecognition)|1.7k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统| +|[https://github.com/GeorgeSeif/Semantic-Segmentation-Suite](GeorgeSeif/Semantic-Segmentation-Suite)|1.7k|Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!| +|[https://github.com/abhshkdz/ai-deadlines](abhshkdz/ai-deadlines)|1.7k|⏰ AI conference deadline countdowns| +|[https://github.com/taolei87/sru](taolei87/sru)|1.7k|Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)| +|[https://github.com/Picovoice/Porcupine](Picovoice/Porcupine)|1.7k|On-device wake word detection powered by deep learning.| +|[https://github.com/junxiaosong/AlphaZero_Gomoku](junxiaosong/AlphaZero_Gomoku)|1.7k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| +|[https://github.com/NVlabs/MUNIT](NVlabs/MUNIT)|1.7k|Multimodal Unsupervised Image-to-Image Translation| +|[https://github.com/Azure/mmlspark](Azure/mmlspark)|1.6k|Microsoft Machine Learning for Apache Spark| +|[https://github.com/SummitKwan/transparent_latent_gan](SummitKwan/transparent_latent_gan)|1.6k|Use supervised learning to illuminate the latent space of GAN for controlled generation and edit| +|[https://github.com/floodsung/Meta-Learning-Papers](floodsung/Meta-Learning-Papers)|1.6k|Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning| +|[https://github.com/FluxML/Flux.jl](FluxML/Flux.jl)|1.6k|Relax! Flux is the ML library that doesn't make you tensor| +|[https://github.com/sachinruk/deepschool.io](sachinruk/deepschool.io)|1.6k|Deep Learning tutorials in jupyter notebooks.| +|[https://github.com/keithito/tacotron](keithito/tacotron)|1.6k|A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)| +|[https://github.com/leoxiaobin/deep-high-resolution-net.pytorch](leoxiaobin/deep-high-resolution-net.pytorch)|1.6k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…| +|[https://github.com/microsoft/VoTT](microsoft/VoTT)|1.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.| +|[https://github.com/alibaba/euler](alibaba/euler)|1.6k|A distributed graph deep learning framework.| +|[https://github.com/NVIDIA/DALI](NVIDIA/DALI)|1.6k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…| +|[https://github.com/Honlan/DeepInterests](Honlan/DeepInterests)|1.6k|深度有趣| +|[https://github.com/dmlc/nnvm](dmlc/nnvm)|1.6k|move to https://github.com/dmlc/tvm/| +|[https://github.com/deepmind/dm_control](deepmind/dm_control)|1.6k|The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo ph…| +|[https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail](ikostrikov/pytorch-a2c-ppo-acktr-gail)|1.5k|PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region met…| +|[https://github.com/INTERMT/Awesome-PyTorch-Chinese](INTERMT/Awesome-PyTorch-Chinese)|1.5k|【干货】史上最全的PyTorch学习资源汇总| +|[https://github.com/carpedm20/deep-rl-tensorflow](carpedm20/deep-rl-tensorflow)|1.5k|TensorFlow implementation of Deep Reinforcement Learning papers| +|[https://github.com/intel/mkl-dnn](intel/mkl-dnn)|1.5k|Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)| +|[https://github.com/minimaxir/automl-gs](minimaxir/automl-gs)|1.5k|Provide an input CSV and a target field to predict, generate a model + code to run it.| +|[https://github.com/sksq96/pytorch-summary](sksq96/pytorch-summary)|1.5k|Model summary in PyTorch similar to `model.summary()` in Keras| +|[https://github.com/kenshohara/3D-ResNets-PyTorch](kenshohara/3D-ResNets-PyTorch)|1.5k|3D ResNets for Action Recognition (CVPR 2018)| +|[https://github.com/Zeta36/chess-alpha-zero](Zeta36/chess-alpha-zero)|1.5k|Chess reinforcement learning by AlphaGo Zero methods.| +|[https://github.com/experiencor/keras-yolo2](experiencor/keras-yolo2)|1.5k|Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon…| +|[https://github.com/asyml/texar](asyml/texar)|1.5k|Toolkit for Machine Learning and Text Generation, in TensorFlow| +|[https://github.com/Qihoo360/XLearning](Qihoo360/XLearning)|1.5k|AI on Hadoop| +|[https://github.com/rguthrie3/DeepLearningForNLPInPytorch](rguthrie3/DeepLearningForNLPInPytorch)|1.5k|An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.| +|[https://github.com/Kyubyong/tacotron](Kyubyong/tacotron)|1.5k|A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model| +|[https://github.com/tomlepaine/fast-wavenet](tomlepaine/fast-wavenet)|1.5k|Speedy Wavenet generation using dynamic programming ⚡️| +|[https://github.com/erhwenkuo/deep-learning-with-keras-notebooks](erhwenkuo/deep-learning-with-keras-notebooks)|1.5k|Jupyter notebooks for using & learning Keras| +|[https://github.com/guillaumegenthial/sequence_tagging](guillaumegenthial/sequence_tagging)|1.5k|Named Entity Recognition (LSTM + CRF) - Tensorflow| +|[https://github.com/williamFalcon/pytorch-lightning](williamFalcon/pytorch-lightning)|1.5k|Rapid research framework for PyTorch. The researcher's version of Keras| +|[https://github.com/ajbrock/BigGAN-PyTorch](ajbrock/BigGAN-PyTorch)|1.5k|The author's officially unofficial PyTorch BigGAN implementation.| +|[https://github.com/autorope/donkeycar](autorope/donkeycar)|1.5k|Open source hardware and software platform to build a small scale self driving car.| +|[https://github.com/keplr-io/quiver](keplr-io/quiver)|1.5k|Interactive convnet features visualization for Keras| +|[https://github.com/tensorflow/datasets](tensorflow/datasets)|1.5k|A collection of datasets ready to use with TensorFlow| +|[https://github.com/knazeri/edge-connect](knazeri/edge-connect)|1.4k|EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212| +|[https://github.com/suragnair/alpha-zero-general](suragnair/alpha-zero-general)|1.4k|A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4| +|[https://github.com/NervanaSystems/coach](NervanaSystems/coach)|1.4k|Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learnin…| +|[https://github.com/microsoft/AutonomousDrivingCookbook](microsoft/AutonomousDrivingCookbook)|1.4k|Scenarios, tutorials and demos for Autonomous Driving| +|[https://github.com/microsoft/human-pose-estimation.pytorch](microsoft/human-pose-estimation.pytorch)|1.4k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| +|[https://github.com/alexsosn/iOS_ML](alexsosn/iOS_ML)|1.4k|List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.| +|[https://github.com/ahangchen/GDLnotes](ahangchen/GDLnotes)|1.4k|Google Deep Learning Notes（TensorFlow教程）| +|[https://github.com/Roujack/mathAI](Roujack/mathAI)|1.4k|一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.| +|[https://github.com/bfortuner/ml-cheatsheet](bfortuner/ml-cheatsheet)|1.4k|Machine learning cheatsheet| +|[https://github.com/kaonashi-tyc/zi2zi](kaonashi-tyc/zi2zi)|1.4k|Learning Chinese Character style with conditional GAN| +|[https://github.com/amusi/AI-Job-Notes](amusi/AI-Job-Notes)|1.4k|AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）| +|[https://github.com/kevinhughes27/TensorKart](kevinhughes27/TensorKart)|1.4k|self-driving MarioKart with TensorFlow| +|[https://github.com/dragen1860/TensorFlow-2.x-Tutorials](dragen1860/TensorFlow-2.x-Tutorials)|1.4k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…| +|[https://github.com/SeldonIO/seldon-server](SeldonIO/seldon-server)|1.4k|Machine Learning Platform and Recommendation Engine built on Kubernetes| +|[https://github.com/deeplearningturkiye/turkce-yapay-zeka-kaynaklari](deeplearningturkiye/turkce-yapay-zeka-kaynaklari)|1.4k|Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.| +|[https://github.com/CSAILVision/gandissect](CSAILVision/gandissect)|1.4k|Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/| +|[https://github.com/ybayle/awesome-deep-learning-music](ybayle/awesome-deep-learning-music)|1.4k|List of articles related to deep learning applied to music| +|[https://github.com/tqchen/tinyflow](tqchen/tinyflow)|1.4k|Tutorial code on how to build your own Deep Learning System in 2k Lines| +|[https://github.com/Determined22/zh-NER-TF](Determined22/zh-NER-TF)|1.4k|A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)| +|[https://github.com/mingyuliutw/UNIT](mingyuliutw/UNIT)|1.4k|Unsupervised Image-to-Image Translation| +|[https://github.com/PetrochukM/PyTorch-NLP](PetrochukM/PyTorch-NLP)|1.4k|Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)| +|[https://github.com/KupynOrest/DeblurGAN](KupynOrest/DeblurGAN)|1.4k|Image Deblurring using Generative Adversarial Networks| +|[https://github.com/Franck-Dernoncourt/NeuroNER](Franck-Dernoncourt/NeuroNER)|1.3k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.| +|[https://github.com/ncullen93/torchsample](ncullen93/torchsample)|1.3k|High-Level Training, Data Augmentation, and Utilities for Pytorch| +|[https://github.com/onnx/models](onnx/models)|1.3k|A collection of pre-trained, state-of-the-art models in the ONNX format| +|[https://github.com/pkmital/CADL](pkmital/CADL)|1.3k|Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow…| +|[https://github.com/philipperemy/tensorflow-1.4-billion-password-analysis](philipperemy/tensorflow-1.4-billion-password-analysis)|1.3k|Deep Learning model to analyze a large corpus of clear text passwords.| +|[https://github.com/YunYang1994/tensorflow-yolov3](YunYang1994/tensorflow-yolov3)|1.3k|🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset| +|[https://github.com/hanleyweng/CoreML-in-ARKit](hanleyweng/CoreML-in-ARKit)|1.3k|Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit…| +|[https://github.com/NVIDIA/DeepRecommender](NVIDIA/DeepRecommender)|1.3k|Deep learning for recommender systems| +|[https://github.com/RiweiChen/DeepFace](RiweiChen/DeepFace)|1.3k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have…| +|[https://github.com/DT42/BerryNet](DT42/BerryNet)|1.3k|Deep learning gateway on Raspberry Pi and other edge devices| +|[https://github.com/microsoft/pai](microsoft/pai)|1.2k|Resource scheduling and cluster management for AI| diff --git a/scripts/generate_stats.py b/scripts/generate_stats.py new file mode 100644 index 0000000..0dbb507 --- /dev/null +++ b/scripts/generate_stats.py @@ -0,0 +1,109 @@ +from bs4 import BeautifulSoup +import math +import operator +import requests +import time + +def search(keywords, n_pages=10, sort='stars'): + res = [] + for k in keywords: + for i in range(1, n_pages+1): + time.sleep(10) + url = "https://github.com/search?o=desc&q=%s&p=%d&s=%s&type=Repositories" % (k, i, sort) + r = requests.get(url) + info = extract_search_info(r.content) + for r in info: + res.append(r) + return res + +def extract_search_info(html): + info = [] + html = BeautifulSoup(html, 'html.parser') + for c in html.find_all('li', {"class": "repo-list-item"}): + try: + stars = str(c.find_all('a', {"class": "muted-link"})[-1].text.strip()) + stars_unparsed = stars + if 'k' in stars: + stars = float(stars.replace('k', '')) * 1000 + stars = int(stars) + info.append({ + "url": "https://github.com" + c.find('a', {"class": "v-align-middle"}).attrs["href"], + "title": c.find('a', {"class": "v-align-middle"}).text.strip(), + "desc": c.find('p', {"class": "col-12"}).text.strip(), + "stars_unparsed": stars_unparsed, + "stars": stars + }) + except Exception as e: + print e + return info + +def get_topic(keywords, n_pages=10): + res = [] + next_token = None + for k in keywords: + for i in range(1, n_pages+1): + time.sleep(10) + url = "https://github.com/topics/%s" % k + if next_token: + url += "?after=%s" % next_token + r = requests.get(url) + info, next_token = extract_topic_info(r.content) + for r in info: + res.append(r) + return res + +def extract_topic_info(html): + info = [] + html = BeautifulSoup(html, 'html.parser') + next_token = html.find('input', {"name": "after"}).attrs["value"] + for c in html.find_all('article', {"class": "py-4"}): + try: + stars = str(c.find_all('a', {"class": "link-gray"})[-1].text.strip()) + stars_unparsed = stars + if 'k' in stars: + stars = float(stars.replace('k', '')) * 1000 + stars = int(stars) + info.append({ + "url": "https://github.com" + c.find('h3').find('a').attrs["href"], + "title": c.find('h3').find('a').text.strip().replace(" / ", "/"), + "desc": c.find('div', {"class": "mb-3"}).text.strip(), + "stars_unparsed": stars_unparsed, + "stars": stars + }) + except Exception as e: + print e + return info, next_token + +def parse_results(results): + results = {v['url']:v for v in results}.values() + results = sorted(results, key=lambda x: x['stars'], reverse=True) + return [r for r in results if r['stars'] >= 1000] + +def build_table(results_list): + + def build_html_fields(d): + return ['%s' % (d['url'], d['title']), d['stars_unparsed'], d['desc']] + + def build_md_fields(d): + return ['[%s](%s)' % (d['url'], d['title']), d['stars_unparsed'], d['desc']] + + html = '' + md = '| Project Name | Stars | Description |\n| ------- | ------ | ------ |\n' + for r in results_list: + html += '' + md += '|' + '|'.join(build_md_fields(r)) + '|\n' + html += '
Project NameStarsDescription
' + ''.join(build_html_fields(r)) + '
' + return html, md + +topics = get_topic(['tensorflow', 'deep-learning', 'pytorch', 'machine-learning'], n_pages=5) +searches = search(['tensorflow', 'deep learning', 'pytorch', 'cntk', 'machine learning'], n_pages=5) + +r = parse_results(topics + searches) + +print len(r) + +with open('out.html', 'w') as f: + f.write(build_table(r)[0].encode('utf-8')) + +with open('out.md', 'w') as f: + f.write(build_table(r)[1].encode('utf-8')) From 628930f940e10111293d34a6880138da1018659b Mon Sep 17 00:00:00 2001 From: aymericdamien Date: Sun, 11 Aug 2019 00:33:22 -0700 Subject: [PATCH 02/10] fix --- README.md | 763 +++++++++++++++++++------------------- scripts/generate_stats.py | 2 +- 2 files changed, 382 insertions(+), 383 deletions(-) diff --git a/README.md b/README.md index aec8049..5be64b9 100644 --- a/README.md +++ b/README.md @@ -2,387 +2,386 @@ A list of popular github projects related to deep learning (ranked by stars). Last Update: 2018.08.11 - | Project Name | Stars | Description | | ------- | ------ | ------ | -|[https://github.com/tensorflow/tensorflow](tensorflow/tensorflow)|132k|An Open Source Machine Learning Framework for Everyone| -|[https://github.com/tensorflow/models](tensorflow/models)|56.3k|Models and examples built with TensorFlow| -|[https://github.com/keras-team/keras](keras-team/keras)|43.4k|Deep Learning for humans| -|[https://github.com/josephmisiti/awesome-machine-learning](josephmisiti/awesome-machine-learning)|41.2k|A curated list of awesome Machine Learning frameworks, libraries and software.| -|[https://github.com/scikit-learn/scikit-learn](scikit-learn/scikit-learn)|36.5k|scikit-learn: machine learning in Python| -|[https://github.com/aymericdamien/TensorFlow-Examples](aymericdamien/TensorFlow-Examples)|33.3k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| -|[https://github.com/scutan90/DeepLearning-500-questions](scutan90/DeepLearning-500-questions)|32.4k|深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续.....…| -|[https://github.com/pytorch/pytorch](pytorch/pytorch)|30.7k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| -|[https://github.com/BVLC/caffe](BVLC/caffe)|28.8k|Caffe: a fast open framework for deep learning.| -|[https://github.com/exacity/deeplearningbook-chinese](exacity/deeplearningbook-chinese)|25.8k|Deep Learning Book Chinese Translation| -|[https://github.com/imhuay/Algorithm_Interview_Notes-Chinese](imhuay/Algorithm_Interview_Notes-Chinese)|25.7k|2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记| -|[https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap](floodsung/Deep-Learning-Papers-Reading-Roadmap)|23.7k|Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!| -|[https://github.com/xitu/gold-miner](xitu/gold-miner)|23.3k|🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：| -|[https://github.com/ZuzooVn/machine-learning-for-software-engineers](ZuzooVn/machine-learning-for-software-engineers)|22.3k|A complete daily plan for studying to become a machine learning engineer.| -|[https://github.com/GokuMohandas/practicalAI](GokuMohandas/practicalAI)|19.5k|📚 A practical approach to machine learning.| -|[https://github.com/terryum/awesome-deep-learning-papers](terryum/awesome-deep-learning-papers)|19.5k|The most cited deep learning papers| -|[https://github.com/apache/incubator-mxnet](apache/incubator-mxnet)|17.5k|Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;…| -|[https://github.com/google-research/bert](google-research/bert)|17.3k|TensorFlow code and pre-trained models for BERT| -|[https://github.com/microsoft/CNTK](microsoft/CNTK)|16.3k|Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit| -|[https://github.com/donnemartin/data-science-ipython-notebooks](donnemartin/data-science-ipython-notebooks)|16.2k|Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spar…| -|[https://github.com/ageron/handson-ml](ageron/handson-ml)|16.2k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …| -|[https://github.com/fastai/fastai](fastai/fastai)|15k|The fastai deep learning library, plus lessons and tutorials| -|[https://github.com/jtoy/awesome-tensorflow](jtoy/awesome-tensorflow)|14.8k|TensorFlow - A curated list of dedicated resources http://tensorflow.org| -|[https://github.com/matterport/Mask_RCNN](matterport/Mask_RCNN)|13.4k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow| -|[https://github.com/ChristosChristofidis/awesome-deep-learning](ChristosChristofidis/awesome-deep-learning)|13.3k|A curated list of awesome Deep Learning tutorials, projects and communities.| -|[https://github.com/MLEveryday/100-Days-Of-ML-Code](MLEveryday/100-Days-Of-ML-Code)|12.9k|100-Days-Of-ML-Code中文版| -|[https://github.com/machinelearningmindset/TensorFlow-Course](machinelearningmindset/TensorFlow-Course)|12.9k|Simple and ready-to-use tutorials for TensorFlow| -|[https://github.com/ty4z2008/Qix](ty4z2008/Qix)|12.8k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang| -|[https://github.com/trekhleb/homemade-machine-learning](trekhleb/homemade-machine-learning)|12.8k|🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained| -|[https://github.com/yunjey/pytorch-tutorial](yunjey/pytorch-tutorial)|12.8k|PyTorch Tutorial for Deep Learning Researchers| -|[https://github.com/kailashahirwar/cheatsheets-ai](kailashahirwar/cheatsheets-ai)|12.5k|Essential Cheat Sheets for deep learning and machine learning researchers| -|[https://github.com/apache/predictionio](apache/predictionio)|12k|PredictionIO, a machine learning server for developers and ML engineers.| -|[https://github.com/eriklindernoren/ML-From-Scratch](eriklindernoren/ML-From-Scratch)|11.8k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| -|[https://github.com/virgili0/Virgilio](virgili0/Virgilio)|11.5k|Your new Mentor for Data Science E-Learning.| -|[https://github.com/dennybritz/reinforcement-learning](dennybritz/reinforcement-learning)|11.5k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| -|[https://github.com/fighting41love/funNLP](fighting41love/funNLP)|11.4k|新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增…| -|[https://github.com/jikexueyuanwiki/tensorflow-zh](jikexueyuanwiki/tensorflow-zh)|11.1k|谷歌全新开源人工智能系统TensorFlow官方文档中文版| -|[https://github.com/eclipse/deeplearning4j](eclipse/deeplearning4j)|11k|Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark| -|[https://github.com/mozilla/DeepSpeech](mozilla/DeepSpeech)|10.9k|A TensorFlow implementation of Baidu's DeepSpeech architecture| -|[https://github.com/huggingface/pytorch-transformers](huggingface/pytorch-transformers)|10.6k|👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)| -|[https://github.com/rasbt/python-machine-learning-book](rasbt/python-machine-learning-book)|10.1k|The "Python Machine Learning (1st edition)" book code repository and info resource| -|[https://github.com/mnielsen/neural-networks-and-deep-learning](mnielsen/neural-networks-and-deep-learning)|9.8k|Code samples for my book "Neural Networks and Deep Learning"| -|[https://github.com/karpathy/convnetjs](karpathy/convnetjs)|9.8k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.| -|[https://github.com/NVIDIA/FastPhotoStyle](NVIDIA/FastPhotoStyle)|9.8k|Style transfer, deep learning, feature transform| -|[https://github.com/pytorch/examples](pytorch/examples)|9.7k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.| -|[https://github.com/PaddlePaddle/Paddle](PaddlePaddle/Paddle)|9.6k|PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）| -|[https://github.com/hangtwenty/dive-into-machine-learning](hangtwenty/dive-into-machine-learning)|9.5k|Dive into Machine Learning with Python Jupyter notebook and scikit-learn!| -|[https://github.com/alexjc/neural-enhance](alexjc/neural-enhance)|9.4k|Super Resolution for images using deep learning.| -|[https://github.com/ujjwalkarn/Machine-Learning-Tutorials](ujjwalkarn/Machine-Learning-Tutorials)|9.3k|machine learning and deep learning tutorials, articles and other resources| -|[https://github.com/microsoft/LightGBM](microsoft/LightGBM)|9.3k|A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tr…| -|[https://github.com/tflearn/tflearn](tflearn/tflearn)|9.2k|Deep learning library featuring a higher-level API for TensorFlow.| -|[https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix](junyanz/pytorch-CycleGAN-and-pix2pix)|9.2k|Image-to-Image Translation in PyTorch| -|[https://github.com/nndl/nndl.github.io](nndl/nndl.github.io)|9.1k|《神经网络与深度学习》 Neural Network and Deep Learning| -|[https://github.com/rasbt/deeplearning-models](rasbt/deeplearning-models)|9k|A collection of various deep learning architectures, models, and tips| -|[https://github.com/afshinea/stanford-cs-229-machine-learning](afshinea/stanford-cs-229-machine-learning)|8.9k|VIP cheatsheets for Stanford's CS 229 Machine Learning| -|[https://github.com/apple/turicreate](apple/turicreate)|8.9k|Turi Create simplifies the development of custom machine learning models.| -|[https://github.com/chiphuyen/stanford-tensorflow-tutorials](chiphuyen/stanford-tensorflow-tutorials)|8.8k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| -|[https://github.com/davidsandberg/facenet](davidsandberg/facenet)|8.8k|Face recognition using Tensorflow| -|[https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems](RedditSota/state-of-the-art-result-for-machine-learning-problems)|8.7k|This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep th…| -|[https://github.com/gunthercox/ChatterBot](gunthercox/ChatterBot)|8.7k|ChatterBot is a machine learning, conversational dialog engine for creating chat bots| -|[https://github.com/tensorflow/tensor2tensor](tensorflow/tensor2tensor)|8.5k|Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.| -|[https://github.com/facebookarchive/caffe2](facebookarchive/caffe2)|8.5k|Caffe2 is a lightweight, modular, and scalable deep learning framework.| -|[https://github.com/vahidk/EffectiveTensorflow](vahidk/EffectiveTensorflow)|8.4k|TensorFlow 1.x and 2.x tutorials and best practices.| -|[https://github.com/kjw0612/awesome-deep-vision](kjw0612/awesome-deep-vision)|8.4k|A curated list of deep learning resources for computer vision| -|[https://github.com/deeppomf/DeepCreamPy](deeppomf/DeepCreamPy)|8.3k|Decensoring Hentai with Deep Neural Networks| -|[https://github.com/lengstrom/fast-style-transfer](lengstrom/fast-style-transfer)|8.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| -|[https://github.com/google/dopamine](google/dopamine)|8.2k|Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.| -|[https://github.com/deepmind/sonnet](deepmind/sonnet)|7.8k|TensorFlow-based neural network library| -|[https://github.com/davisking/dlib](davisking/dlib)|7.7k|A toolkit for making real world machine learning and data analysis applications in C++| -|[https://github.com/fchollet/deep-learning-with-python-notebooks](fchollet/deep-learning-with-python-notebooks)|7.7k|Jupyter notebooks for the code samples of the book "Deep Learning with Python"| -|[https://github.com/bharathgs/Awesome-pytorch-list](bharathgs/Awesome-pytorch-list)|7.6k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…| -|[https://github.com/rushter/MLAlgorithms](rushter/MLAlgorithms)|7.6k|Minimal and clean examples of machine learning algorithms implementations| -|[https://github.com/NVlabs/stylegan](NVlabs/stylegan)|7.5k|StyleGAN - Official TensorFlow Implementation| -|[https://github.com/Hvass-Labs/TensorFlow-Tutorials](Hvass-Labs/TensorFlow-Tutorials)|7.5k|TensorFlow Tutorials with YouTube Videos| -|[https://github.com/jantic/DeOldify](jantic/DeOldify)|7.4k|A Deep Learning based project for colorizing and restoring old images (and video!)| -|[https://github.com/kubeflow/kubeflow](kubeflow/kubeflow)|7.3k|Machine Learning Toolkit for Kubernetes| -|[https://github.com/php-ai/php-ml](php-ai/php-ml)|7.3k|PHP-ML - Machine Learning library for PHP| -|[https://github.com/horovod/horovod](horovod/horovod)|7.2k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| -|[https://github.com/clips/pattern](clips/pattern)|7.1k|Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysi…| -|[https://github.com/vdumoulin/conv_arithmetic](vdumoulin/conv_arithmetic)|7.1k|A technical report on convolution arithmetic in the context of deep learning| -|[https://github.com/zalandoresearch/flair](zalandoresearch/flair)|6.9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)| -|[https://github.com/allenai/allennlp](allenai/allennlp)|6.8k|An open-source NLP research library, built on PyTorch.| -|[https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months](llSourcell/Learn_Machine_Learning_in_3_Months)|6.7k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube| -|[https://github.com/sjwhitworth/golearn](sjwhitworth/golearn)|6.7k|Machine Learning for Go| -|[https://github.com/aleju/imgaug](aleju/imgaug)|6.7k|Image augmentation for machine learning experiments.| -|[https://github.com/NVIDIA/vid2vid](NVIDIA/vid2vid)|6.7k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| -|[https://github.com/justadudewhohacks/face-api.js](justadudewhohacks/face-api.js)|6.6k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js| -|[https://github.com/MorvanZhou/tutorials](MorvanZhou/tutorials)|6.6k|机器学习相关教程| -|[https://github.com/zergtant/pytorch-handbook](zergtant/pytorch-handbook)|6.6k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行| -|[https://github.com/onnx/onnx](onnx/onnx)|6.6k|Open Neural Network Exchange| -|[https://github.com/janishar/mit-deep-learning-book-pdf](janishar/mit-deep-learning-book-pdf)|6.5k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| -|[https://github.com/VowpalWabbit/vowpal_wabbit](VowpalWabbit/vowpal_wabbit)|6.5k|Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as onli…| -|[https://github.com/Unity-Technologies/ml-agents](Unity-Technologies/ml-agents)|6.5k|Unity Machine Learning Agents Toolkit| -|[https://github.com/dotnet/machinelearning](dotnet/machinelearning)|6.3k|ML.NET is an open source and cross-platform machine learning framework for .NET.| -|[https://github.com/marcotcr/lime](marcotcr/lime)|6.3k|Lime: Explaining the predictions of any machine learning classifier| -|[https://github.com/ddbourgin/numpy-ml](ddbourgin/numpy-ml)|6.3k|Machine learning, in numpy| -|[https://github.com/facebookresearch/maskrcnn-benchmark](facebookresearch/maskrcnn-benchmark)|6.2k|Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.| -|[https://github.com/EpistasisLab/tpot](EpistasisLab/tpot)|6.1k|A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.| -|[https://github.com/RasaHQ/rasa](RasaHQ/rasa)|6.1k|💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, c…| -|[https://github.com/slundberg/shap](slundberg/shap)|6.1k|A unified approach to explain the output of any machine learning model.| -|[https://github.com/carpedm20/DCGAN-tensorflow](carpedm20/DCGAN-tensorflow)|6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"| -|[https://github.com/kmario23/deep-learning-drizzle](kmario23/deep-learning-drizzle)|5.8k|Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from…| -|[https://github.com/keras-team/autokeras](keras-team/autokeras)|5.8k|Accessible AutoML for deep learning.| -|[https://github.com/nlintz/TensorFlow-Tutorials](nlintz/TensorFlow-Tutorials)|5.8k|Simple tutorials using Google's TensorFlow Framework| -|[https://github.com/machinelearningmindset/machine-learning-course](machinelearningmindset/machine-learning-course)|5.8k|💬 Machine Learning Course with Python. Refer to the course page for step-by-step explanations.| -|[https://github.com/hoya012/deep_learning_object_detection](hoya012/deep_learning_object_detection)|5.7k|A paper list of object detection using deep learning.| -|[https://github.com/lutzroeder/netron](lutzroeder/netron)|5.7k|Visualizer for neural network, deep learning and machine learning models| -|[https://github.com/open-mmlab/mmdetection](open-mmlab/mmdetection)|5.6k|Open MMLab Detection Toolbox and Benchmark| -|[https://github.com/Swift-AI/Swift-AI](Swift-AI/Swift-AI)|5.6k|The Swift machine learning library.| -|[https://github.com/lexfridman/mit-deep-learning](lexfridman/mit-deep-learning)|5.6k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| -|[https://github.com/PAIR-code/facets](PAIR-code/facets)|5.6k|Visualizations for machine learning datasets| -|[https://github.com/uber/ludwig](uber/ludwig)|5.5k|Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to…| -|[https://github.com/iperov/DeepFaceLab](iperov/DeepFaceLab)|5.5k|DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work stan…| -|[https://github.com/pyro-ppl/pyro](pyro-ppl/pyro)|5.5k|Deep universal probabilistic programming with Python and PyTorch| -|[https://github.com/guess-js/guess](guess-js/guess)|5.4k|Libraries & tools for enabling Machine Learning driven user-experiences on the web| -|[https://github.com/lanpa/tensorboardX](lanpa/tensorboardX)|5.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| -|[https://github.com/fchollet/deep-learning-models](fchollet/deep-learning-models)|5.4k|Keras code and weights files for popular deep learning models.| -|[https://github.com/tensorlayer/tensorlayer](tensorlayer/tensorlayer)|5.4k|Deep Learning and Reinforcement Learning Library for Scientists| -|[https://github.com/chenyuntc/pytorch-book](chenyuntc/pytorch-book)|5.4k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation| -|[https://github.com/wiseodd/generative-models](wiseodd/generative-models)|5.3k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| -|[https://github.com/pkmital/tensorflow_tutorials](pkmital/tensorflow_tutorials)|5.3k|From the basics to slightly more interesting applications of Tensorflow| -|[https://github.com/yenchenlin/DeepLearningFlappyBird](yenchenlin/DeepLearningFlappyBird)|5.3k|Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).| -|[https://github.com/bulletphysics/bullet3](bulletphysics/bullet3)|5.3k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| -|[https://github.com/facebookresearch/pytext](facebookresearch/pytext)|5.3k|A natural language modeling framework based on PyTorch| -|[https://github.com/nfmcclure/tensorflow_cookbook](nfmcclure/tensorflow_cookbook)|5.1k|Code for Tensorflow Machine Learning Cookbook| -|[https://github.com/DmitryUlyanov/deep-image-prior](DmitryUlyanov/deep-image-prior)|5k|Image restoration with neural networks but without learning.| -|[https://github.com/david-gpu/srez](david-gpu/srez)|5k|Image super-resolution through deep learning| -|[https://github.com/ufoym/deepo](ufoym/deepo)|5k|Set up deep learning environment in a single command line.| -|[https://github.com/brightmart/text_classification](brightmart/text_classification)|5k|all kinds of text classification models and more with deep learning| -|[https://github.com/chainer/chainer](chainer/chainer)|5k|A flexible framework of neural networks for deep learning| -|[https://github.com/thtrieu/darkflow](thtrieu/darkflow)|5k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def …| -|[https://github.com/pytorch/fairseq](pytorch/fairseq)|4.9k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| -|[https://github.com/hanxiao/bert-as-service](hanxiao/bert-as-service)|4.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model| -|[https://github.com/dennybritz/cnn-text-classification-tf](dennybritz/cnn-text-classification-tf)|4.9k|Convolutional Neural Network for Text Classification in Tensorflow| -|[https://github.com/google/seq2seq](google/seq2seq)|4.9k|A general-purpose encoder-decoder framework for Tensorflow| -|[https://github.com/Cadene/pretrained-models.pytorch](Cadene/pretrained-models.pytorch)|4.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.| -|[https://github.com/rusty1s/pytorch_geometric](rusty1s/pytorch_geometric)|4.8k|Geometric Deep Learning Extension Library for PyTorch| -|[https://github.com/humphd/have-fun-with-machine-learning](humphd/have-fun-with-machine-learning)|4.8k|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks| -|[https://github.com/vipstone/faceai](vipstone/faceai)|4.8k|一款入门级的人脸、视频、文字检测以及识别的项目.| -|[https://github.com/tensorflow/nmt](tensorflow/nmt)|4.8k|TensorFlow Neural Machine Translation Tutorial| -|[https://github.com/anishathalye/neural-style](anishathalye/neural-style)|4.8k|Neural style in TensorFlow! 🎨| -|[https://github.com/tensorpack/tensorpack](tensorpack/tensorpack)|4.7k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility| -|[https://github.com/transcranial/keras-js](transcranial/keras-js)|4.6k|Run Keras models in the browser, with GPU support using WebGL| -|[https://github.com/airbnb/aerosolve](airbnb/aerosolve)|4.6k|A machine learning package built for humans.| -|[https://github.com/rasbt/python-machine-learning-book-2nd-edition](rasbt/python-machine-learning-book-2nd-edition)|4.5k|The "Python Machine Learning (2nd edition)" book code repository and info resource| -|[https://github.com/tensorflow/swift](tensorflow/swift)|4.5k|Swift for TensorFlow Project Home Page| -|[https://github.com/astorfi/TensorFlow-World](astorfi/TensorFlow-World)|4.4k|🌎 Simple and ready-to-use tutorials for TensorFlow| -|[https://github.com/BinRoot/TensorFlow-Book](BinRoot/TensorFlow-Book)|4.3k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.| -|[https://github.com/zihangdai/xlnet](zihangdai/xlnet)|4.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| -|[https://github.com/blei-lab/edward](blei-lab/edward)|4.3k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| -|[https://github.com/Alluxio/alluxio](Alluxio/alluxio)|4.3k|Alluxio, data orchestration for analytics and machine learning in the cloud| -|[https://github.com/yunjey/stargan](yunjey/stargan)|4k|Official PyTorch Implementation of StarGAN - CVPR 2018| -|[https://github.com/keras-rl/keras-rl](keras-rl/keras-rl)|4k|Deep Reinforcement Learning for Keras.| -|[https://github.com/tensorspace-team/tensorspace](tensorspace-team/tensorspace)|3.9k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained dee…| -|[https://github.com/microsoft/MMdnn](microsoft/MMdnn)|3.9k|MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion a…| -|[https://github.com/ashnkumar/sketch-code](ashnkumar/sketch-code)|3.9k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| -|[https://github.com/jwyang/faster-rcnn.pytorch](jwyang/faster-rcnn.pytorch)|3.9k|A faster pytorch implementation of faster r-cnn| -|[https://github.com/eriklindernoren/PyTorch-GAN](eriklindernoren/PyTorch-GAN)|3.8k|PyTorch implementations of Generative Adversarial Networks.| -|[https://github.com/graykode/nlp-tutorial](graykode/nlp-tutorial)|3.8k|Natural Language Processing Tutorial for Deep Learning Researchers| -|[https://github.com/NVIDIA/pix2pixHD](NVIDIA/pix2pixHD)|3.8k|Synthesizing and manipulating 2048x1024 images with conditional GANs| -|[https://github.com/photoprism/photoprism](photoprism/photoprism)|3.8k|Personal Photo Management powered by Go and Google TensorFlow| -|[https://github.com/ritchieng/the-incredible-pytorch](ritchieng/the-incredible-pytorch)|3.8k|The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.| -|[https://github.com/PipelineAI/pipeline](PipelineAI/pipeline)|3.7k|PipelineAI: Real-Time Enterprise AI Platform| -|[https://github.com/tensorflow/serving](tensorflow/serving)|3.7k|A flexible, high-performance serving system for machine learning models| -|[https://github.com/OpenMined/PySyft](OpenMined/PySyft)|3.7k|A library for encrypted, privacy preserving deep learning| -|[https://github.com/hunkim/DeepLearningZeroToAll](hunkim/DeepLearningZeroToAll)|3.6k|TensorFlow Basic Tutorial Labs| -|[https://github.com/deepmind/graph_nets](deepmind/graph_nets)|3.6k|Build Graph Nets in Tensorflow| -|[https://github.com/spro/practical-pytorch](spro/practical-pytorch)|3.5k|PyTorch tutorials demonstrating modern techniques with readable code| -|[https://github.com/naturomics/CapsNet-Tensorflow](naturomics/CapsNet-Tensorflow)|3.5k|A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules| -|[https://github.com/xitu/tensorflow-docs](xitu/tensorflow-docs)|3.5k|TensorFlow 最新官方文档中文版| -|[https://github.com/MorvanZhou/PyTorch-Tutorial](MorvanZhou/PyTorch-Tutorial)|3.5k|Build your neural network easy and fast| -|[https://github.com/deepmipt/DeepPavlov](deepmipt/DeepPavlov)|3.3k|An open source library for deep learning end-to-end dialog systems and chatbots.| -|[https://github.com/MorvanZhou/Tensorflow-Tutorial](MorvanZhou/Tensorflow-Tutorial)|3.3k|Tensorflow tutorial from basic to hard| -|[https://github.com/balancap/SSD-Tensorflow](balancap/SSD-Tensorflow)|3.3k|Single Shot MultiBox Detector in TensorFlow| -|[https://github.com/yandexdataschool/Practical_RL](yandexdataschool/Practical_RL)|3.3k|A course in reinforcement learning in the wild| -|[https://github.com/hwalsuklee/tensorflow-generative-model-collections](hwalsuklee/tensorflow-generative-model-collections)|3.3k|Collection of generative models in Tensorflow| -|[https://github.com/OpenNMT/OpenNMT-py](OpenNMT/OpenNMT-py)|3.3k|Open Source Neural Machine Translation in PyTorch| -|[https://github.com/yahoo/TensorFlowOnSpark](yahoo/TensorFlowOnSpark)|3.2k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| -|[https://github.com/apachecn/hands-on-ml-zh](apachecn/hands-on-ml-zh)|3.1k|📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】| -|[https://github.com/cchen156/Learning-to-See-in-the-Dark](cchen156/Learning-to-See-in-the-Dark)|3.1k|Learning to See in the Dark. CVPR 2018| -|[https://github.com/1adrianb/face-alignment](1adrianb/face-alignment)|3k|🔥 2D and 3D Face alignment library build using pytorch| -|[https://github.com/jcjohnson/pytorch-examples](jcjohnson/pytorch-examples)|3k|Simple examples to introduce PyTorch| -|[https://github.com/jadore801120/attention-is-all-you-need-pytorch](jadore801120/attention-is-all-you-need-pytorch)|3k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| -|[https://github.com/MVIG-SJTU/AlphaPose](MVIG-SJTU/AlphaPose)|3k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| -|[https://github.com/CorentinJ/Real-Time-Voice-Cloning](CorentinJ/Real-Time-Voice-Cloning)|3k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| -|[https://github.com/MrGemy95/Tensorflow-Project-Template](MrGemy95/Tensorflow-Project-Template)|3k|A best practice for tensorflow project template architecture.| -|[https://github.com/endernewton/tf-faster-rcnn](endernewton/tf-faster-rcnn)|2.9k|Tensorflow Faster RCNN for Object Detection| -|[https://github.com/vespa-engine/vespa](vespa-engine/vespa)|2.9k|Vespa is an engine for low-latency computation over large data sets.| -|[https://github.com/minimaxir/textgenrnn](minimaxir/textgenrnn)|2.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| -|[https://github.com/CharlesShang/FastMaskRCNN](CharlesShang/FastMaskRCNN)|2.9k|Mask RCNN in TensorFlow| -|[https://github.com/tensorflow/lucid](tensorflow/lucid)|2.8k|A collection of infrastructure and tools for research in neural network interpretability.| -|[https://github.com/NirantK/awesome-project-ideas](NirantK/awesome-project-ideas)|2.8k|Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas| -|[https://github.com/easy-tensorflow/easy-tensorflow](easy-tensorflow/easy-tensorflow)|2.8k|Simple and comprehensive tutorials in TensorFlow| -|[https://github.com/tensorflow/adanet](tensorflow/adanet)|2.8k|Fast and flexible AutoML with learning guarantees.| -|[https://github.com/handong1587/handong1587.github.io](handong1587/handong1587.github.io)|2.7k|| -|[https://github.com/jinfagang/tensorflow_poems](jinfagang/tensorflow_poems)|2.7k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！| -|[https://github.com/codertimo/BERT-pytorch](codertimo/BERT-pytorch)|2.7k|Google AI 2018 BERT pytorch implementation| -|[https://github.com/mbadry1/DeepLearning.ai-Summary](mbadry1/DeepLearning.ai-Summary)|2.7k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…| -|[https://github.com/AKSHAYUBHAT/DeepVideoAnalytics](AKSHAYUBHAT/DeepVideoAnalytics)|2.7k|A distributed visual search and visual data analytics platform.| -|[https://github.com/taki0112/Tensorflow-Cookbook](taki0112/Tensorflow-Cookbook)|2.7k|Simple Tensorflow Cookbook for easy-to-use| -|[https://github.com/hunkim/PyTorchZeroToAll](hunkim/PyTorchZeroToAll)|2.7k|Simple PyTorch Tutorials Zero to ALL!| -|[https://github.com/andri27-ts/60_Days_RL_Challenge](andri27-ts/60_Days_RL_Challenge)|2.7k|Learn Deep Reinforcement Learning in Depth in 60 days| -|[https://github.com/yusugomori/DeepLearning](yusugomori/DeepLearning)|2.7k|Deep Learning (Python, C, C++, Java, Scala, Go)| -|[https://github.com/migueldeicaza/TensorFlowSharp](migueldeicaza/TensorFlowSharp)|2.7k|TensorFlow API for .NET languages| -|[https://github.com/gorgonia/gorgonia](gorgonia/gorgonia)|2.7k|Gorgonia is a library that helps facilitate machine learning in Go.| -|[https://github.com/facebookresearch/pythia](facebookresearch/pythia)|2.7k|A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)| -|[https://github.com/NTMC-Community/MatchZoo](NTMC-Community/MatchZoo)|2.6k|Facilitating the design, comparison and sharing of deep text matching models.| -|[https://github.com/amdegroot/ssd.pytorch](amdegroot/ssd.pytorch)|2.6k|A PyTorch Implementation of Single Shot MultiBox Detector| -|[https://github.com/dmlc/dgl](dmlc/dgl)|2.6k|Python package built to ease deep learning on graph, on top of existing DL frameworks.| -|[https://github.com/pandas-profiling/pandas-profiling](pandas-profiling/pandas-profiling)|2.6k|Create HTML profiling reports from pandas DataFrame objects| -|[https://github.com/leriomaggio/deep-learning-keras-tensorflow](leriomaggio/deep-learning-keras-tensorflow)|2.6k|Introduction to Deep Neural Networks with Keras and Tensorflow| -|[https://github.com/rasbt/deep-learning-book](rasbt/deep-learning-book)|2.6k|Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …| -|[https://github.com/amusi/daily-paper-computer-vision](amusi/daily-paper-computer-vision)|2.5k|记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文| -|[https://github.com/ildoonet/tf-pose-estimation](ildoonet/tf-pose-estimation)|2.5k|Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.| -|[https://github.com/jostmey/NakedTensor](jostmey/NakedTensor)|2.5k|Bare bone examples of machine learning in TensorFlow| -|[https://github.com/hybridgroup/gocv](hybridgroup/gocv)|2.5k|Go package for computer vision using OpenCV 4 and beyond.| -|[https://github.com/zzw922cn/Automatic_Speech_Recognition](zzw922cn/Automatic_Speech_Recognition)|2.5k|End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow| -|[https://github.com/Conchylicultor/DeepQA](Conchylicultor/DeepQA)|2.5k|My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot| -|[https://github.com/makegirlsmoe/makegirlsmoe_web](makegirlsmoe/makegirlsmoe_web)|2.5k|Create Anime Characters with MakeGirlsMoe| -|[https://github.com/deeplearning-ai/machine-learning-yearning-cn](deeplearning-ai/machine-learning-yearning-cn)|2.4k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| -|[https://github.com/gaussic/text-classification-cnn-rnn](gaussic/text-classification-cnn-rnn)|2.4k|CNN-RNN中文文本分类，基于TensorFlow| -|[https://github.com/allmachinelearning/MachineLearning](allmachinelearning/MachineLearning)|2.4k|Machine learning resources| -|[https://github.com/tensorforce/tensorforce](tensorforce/tensorforce)|2.4k|Tensorforce: a TensorFlow library for applied reinforcement learning| -|[https://github.com/zeusees/HyperLPR](zeusees/HyperLPR)|2.4k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| -|[https://github.com/Tencent/tencent-ml-images](Tencent/tencent-ml-images)|2.4k|Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet| -|[https://github.com/jisungk/deepjazz](jisungk/deepjazz)|2.4k|Deep learning driven jazz generation using Keras & Theano!| -|[https://github.com/foolwood/benchmark_results](foolwood/benchmark_results)|2.4k|Visual Tracking Paper List| -|[https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition](guillaume-chevalier/LSTM-Human-Activity-Recognition)|2.3k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo…| -|[https://github.com/cysmith/neural-style-tf](cysmith/neural-style-tf)|2.3k|TensorFlow (Python API) implementation of Neural Style| -|[https://github.com/microsoft/tensorwatch](microsoft/tensorwatch)|2.3k|Debugging, monitoring and visualization for Python Machine Learning and Data Science| -|[https://github.com/stanfordnlp/stanfordnlp](stanfordnlp/stanfordnlp)|2.3k|Official Stanford NLP Python Library for Many Human Languages| -|[https://github.com/PaddlePaddle/VisualDL](PaddlePaddle/VisualDL)|2.3k|A platform to visualize the deep learning process and result.| -|[https://github.com/d2l-ai/d2l-en](d2l-ai/d2l-en)|2.3k|Dive into Deep Learning: an interactive deep learning book with code, math, and discussions| -|[https://github.com/raghakot/keras-vis](raghakot/keras-vis)|2.3k|Neural network visualization toolkit for keras| -|[https://github.com/yzhao062/pyod](yzhao062/pyod)|2.3k|A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)| -|[https://github.com/NELSONZHAO/zhihu](NELSONZHAO/zhihu)|2.3k|This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Pyt…| -|[https://github.com/eragonruan/text-detection-ctpn](eragonruan/text-detection-ctpn)|2.3k|text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network| -|[https://github.com/cloud-annotations/training](cloud-annotations/training)|2.3k|🐝 Custom Object Detection and Classification Training| -|[https://github.com/gluon-api/gluon-api](gluon-api/gluon-api)|2.3k|A clear, concise, simple yet powerful and efficient API for deep learning.| -|[https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial](CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial)|2.3k|A TensorFlow & Deep Learning online course I taught in 2016| -|[https://github.com/opencv/cvat](opencv/cvat)|2.3k|Powerful and efficient Computer Vision Annotation Tool (CVAT)| -|[https://github.com/tensorflow/probability](tensorflow/probability)|2.3k|Probabilistic reasoning and statistical analysis in TensorFlow| -|[https://github.com/rlcode/reinforcement-learning](rlcode/reinforcement-learning)|2.3k|Minimal and Clean Reinforcement Learning Examples| -|[https://github.com/ysh329/deep-learning-model-convertor](ysh329/deep-learning-model-convertor)|2.2k|The convertor/conversion of deep learning models for different deep learning frameworks/softwares.| -|[https://github.com/horance-liu/tensorflow-internals](horance-liu/tensorflow-internals)|2.2k|It is open source ebook about TensorFlow kernel and implementation mechanism.| -|[https://github.com/quark0/darts](quark0/darts)|2.2k|Differentiable architecture search for convolutional and recurrent networks| -|[https://github.com/tryolabs/luminoth](tryolabs/luminoth)|2.2k|Deep Learning toolkit for Computer Vision| -|[https://github.com/OpenNMT/OpenNMT](OpenNMT/OpenNMT)|2.2k|Open Source Neural Machine Translation in Torch| -|[https://github.com/Tencent/PocketFlow](Tencent/PocketFlow)|2.2k|An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.| -|[https://github.com/udacity/deep-learning-v2-pytorch](udacity/deep-learning-v2-pytorch)|2.1k|Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegre…| -|[https://github.com/DSKSD/DeepNLP-models-Pytorch](DSKSD/DeepNLP-models-Pytorch)|2.1k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)| -|[https://github.com/dusty-nv/jetson-inference](dusty-nv/jetson-inference)|2.1k|Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.| -|[https://github.com/richzhang/colorization](richzhang/colorization)|2.1k|Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.| -|[https://github.com/meetshah1995/pytorch-semseg](meetshah1995/pytorch-semseg)|2.1k|Semantic Segmentation Architectures Implemented in PyTorch| -|[https://github.com/charlesq34/pointnet](charlesq34/pointnet)|2.1k|PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation| -|[https://github.com/polyaxon/polyaxon](polyaxon/polyaxon)|2.1k|A platform for reproducible and scalable machine learning and deep learning on kubernetes| -|[https://github.com/smallcorgi/Faster-RCNN_TF](smallcorgi/Faster-RCNN_TF)|2.1k|Faster-RCNN in Tensorflow| -|[https://github.com/goq/telegram-list](goq/telegram-list)|2k|List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для пр…| -|[https://github.com/cleardusk/3DDFA](cleardusk/3DDFA)|2k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| -|[https://github.com/junyanz/interactive-deep-colorization](junyanz/interactive-deep-colorization)|2k|Deep learning software for colorizing black and white images with a few clicks.| -|[https://github.com/samjabrahams/tensorflow-on-raspberry-pi](samjabrahams/tensorflow-on-raspberry-pi)|2k|TensorFlow for Raspberry Pi| -|[https://github.com/NervanaSystems/nlp-architect](NervanaSystems/nlp-architect)|2k|NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techn…| -|[https://github.com/pytorch/ignite](pytorch/ignite)|2k|High-level library to help with training neural networks in PyTorch| -|[https://github.com/ultralytics/yolov3](ultralytics/yolov3)|2k|YOLOv3 in PyTorch > ONNX > CoreML > iOS| -|[https://github.com/endymecy/awesome-deeplearning-resources](endymecy/awesome-deeplearning-resources)|2k|Deep Learning and deep reinforcement learning research papers and some codes| -|[https://github.com/koth/kcws](koth/kcws)|2k|Deep Learning Chinese Word Segment| -|[https://github.com/argman/EAST](argman/EAST)|1.9k|A tensorflow implementation of EAST text detector| -|[https://github.com/ajbrock/Neural-Photo-Editor](ajbrock/Neural-Photo-Editor)|1.9k|A simple interface for editing natural photos with generative neural networks.| -|[https://github.com/paarthneekhara/text-to-image](paarthneekhara/text-to-image)|1.9k|Text to image synthesis using thought vectors| -|[https://github.com/facebookresearch/ELF](facebookresearch/ELF)|1.9k|An End-To-End, Lightweight and Flexible Platform for Game Research| -|[https://github.com/tensorflow/rust](tensorflow/rust)|1.9k|Rust language bindings for TensorFlow| -|[https://github.com/awjuliani/DeepRL-Agents](awjuliani/DeepRL-Agents)|1.9k|A set of Deep Reinforcement Learning Agents implemented in Tensorflow.| -|[https://github.com/lakshayg/tensorflow-build](lakshayg/tensorflow-build)|1.9k|TensorFlow binaries supporting AVX, FMA, SSE| -|[https://github.com/aleju/papers](aleju/papers)|1.9k|Summaries of machine learning papers| -|[https://github.com/golbin/TensorFlow-Tutorials](golbin/TensorFlow-Tutorials)|1.9k|텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다| -|[https://github.com/jolibrain/deepdetect](jolibrain/deepdetect)|1.9k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE| -|[https://github.com/fo40225/tensorflow-windows-wheel](fo40225/tensorflow-windows-wheel)|1.9k|Tensorflow prebuilt binary for Windows| -|[https://github.com/robi56/Deep-Learning-for-Recommendation-Systems](robi56/Deep-Learning-for-Recommendation-Systems)|1.9k|This repository contains Deep Learning based articles , paper and repositories for Recommender Systems| -|[https://github.com/tensorlayer/srgan](tensorlayer/srgan)|1.9k|Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network| -|[https://github.com/pannous/tensorflow-speech-recognition](pannous/tensorflow-speech-recognition)|1.9k|🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks| -|[https://github.com/salesforce/decaNLP](salesforce/decaNLP)|1.9k|The Natural Language Decathlon: A Multitask Challenge for NLP| -|[https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials)|1.9k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| -|[https://github.com/google/tangent](google/tangent)|1.9k|Source-to-Source Debuggable Derivatives in Pure Python| -|[https://github.com/shenweichen/DeepCTR](shenweichen/DeepCTR)|1.8k|Easy-to-use,Modular and Extendible package of deep-learning based CTR models.| -|[https://github.com/tensorflow/docs](tensorflow/docs)|1.8k|TensorFlow documentation| -|[https://github.com/pytorch/text](pytorch/text)|1.8k|Data loaders and abstractions for text and NLP| -|[https://github.com/astorfi/TensorFlow-Roadmap](astorfi/TensorFlow-Roadmap)|1.8k|📡 Organized & Useful Resources about Deep Learning with TensorFlow| -|[https://github.com/avinashpaliwal/Super-SloMo](avinashpaliwal/Super-SloMo)|1.8k|PyTorch implementation of Super SloMo by Jiang et al.| -|[https://github.com/simoninithomas/Deep_reinforcement_learning_Course](simoninithomas/Deep_reinforcement_learning_Course)|1.8k|Implementations from the free course Deep Reinforcement Learning with Tensorflow| -|[https://github.com/maciejkula/spotlight](maciejkula/spotlight)|1.8k|Deep recommender models using PyTorch.| -|[https://github.com/foolwood/SiamMask](foolwood/SiamMask)|1.8k|[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach| -|[https://github.com/wb14123/seq2seq-couplet](wb14123/seq2seq-couplet)|1.8k|Play couplet with seq2seq model. 用深度学习对对联。| -|[https://github.com/dmlc/gluon-nlp](dmlc/gluon-nlp)|1.7k|NLP made easy| -|[https://github.com/philipperemy/keras-attention-mechanism](philipperemy/keras-attention-mechanism)|1.7k|Attention mechanism Implementation for Keras.| -|[https://github.com/EthicalML/awesome-production-machine-learning](EthicalML/awesome-production-machine-learning)|1.7k|A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning| -|[https://github.com/wzhe06/Ad-papers](wzhe06/Ad-papers)|1.7k|Papers on Computational Advertising| -|[https://github.com/szilard/benchm-ml](szilard/benchm-ml)|1.7k|A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…| -|[https://github.com/tensorflow/lingvo](tensorflow/lingvo)|1.7k|Lingvo| -|[https://github.com/google/deepvariant](google/deepvariant)|1.7k|DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA…| -|[https://github.com/bytedance/byteps](bytedance/byteps)|1.7k|A high performance and general PS framework for distributed training| -|[https://github.com/tensorflow/hub](tensorflow/hub)|1.7k|A library for transfer learning by reusing parts of TensorFlow models.| -|[https://github.com/deepchem/deepchem](deepchem/deepchem)|1.7k|Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology| -|[https://github.com/thu-ml/zhusuan](thu-ml/zhusuan)|1.7k|A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow| -|[https://github.com/xmartlabs/Bender](xmartlabs/Bender)|1.7k|Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.| -|[https://github.com/tobegit3hub/tensorflow_template_application](tobegit3hub/tensorflow_template_application)|1.7k|TensorFlow template application for deep learning| -|[https://github.com/MrNothing/AI-Blocks](MrNothing/AI-Blocks)|1.7k|A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!| -|[https://github.com/GauravBh1010tt/DeepLearn](GauravBh1010tt/DeepLearn)|1.7k|Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.| -|[https://github.com/nl8590687/ASRT_SpeechRecognition](nl8590687/ASRT_SpeechRecognition)|1.7k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统| -|[https://github.com/GeorgeSeif/Semantic-Segmentation-Suite](GeorgeSeif/Semantic-Segmentation-Suite)|1.7k|Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!| -|[https://github.com/abhshkdz/ai-deadlines](abhshkdz/ai-deadlines)|1.7k|⏰ AI conference deadline countdowns| -|[https://github.com/taolei87/sru](taolei87/sru)|1.7k|Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)| -|[https://github.com/Picovoice/Porcupine](Picovoice/Porcupine)|1.7k|On-device wake word detection powered by deep learning.| -|[https://github.com/junxiaosong/AlphaZero_Gomoku](junxiaosong/AlphaZero_Gomoku)|1.7k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| -|[https://github.com/NVlabs/MUNIT](NVlabs/MUNIT)|1.7k|Multimodal Unsupervised Image-to-Image Translation| -|[https://github.com/Azure/mmlspark](Azure/mmlspark)|1.6k|Microsoft Machine Learning for Apache Spark| -|[https://github.com/SummitKwan/transparent_latent_gan](SummitKwan/transparent_latent_gan)|1.6k|Use supervised learning to illuminate the latent space of GAN for controlled generation and edit| -|[https://github.com/floodsung/Meta-Learning-Papers](floodsung/Meta-Learning-Papers)|1.6k|Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning| -|[https://github.com/FluxML/Flux.jl](FluxML/Flux.jl)|1.6k|Relax! Flux is the ML library that doesn't make you tensor| -|[https://github.com/sachinruk/deepschool.io](sachinruk/deepschool.io)|1.6k|Deep Learning tutorials in jupyter notebooks.| -|[https://github.com/keithito/tacotron](keithito/tacotron)|1.6k|A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)| -|[https://github.com/leoxiaobin/deep-high-resolution-net.pytorch](leoxiaobin/deep-high-resolution-net.pytorch)|1.6k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…| -|[https://github.com/microsoft/VoTT](microsoft/VoTT)|1.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.| -|[https://github.com/alibaba/euler](alibaba/euler)|1.6k|A distributed graph deep learning framework.| -|[https://github.com/NVIDIA/DALI](NVIDIA/DALI)|1.6k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…| -|[https://github.com/Honlan/DeepInterests](Honlan/DeepInterests)|1.6k|深度有趣| -|[https://github.com/dmlc/nnvm](dmlc/nnvm)|1.6k|move to https://github.com/dmlc/tvm/| -|[https://github.com/deepmind/dm_control](deepmind/dm_control)|1.6k|The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo ph…| -|[https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail](ikostrikov/pytorch-a2c-ppo-acktr-gail)|1.5k|PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region met…| -|[https://github.com/INTERMT/Awesome-PyTorch-Chinese](INTERMT/Awesome-PyTorch-Chinese)|1.5k|【干货】史上最全的PyTorch学习资源汇总| -|[https://github.com/carpedm20/deep-rl-tensorflow](carpedm20/deep-rl-tensorflow)|1.5k|TensorFlow implementation of Deep Reinforcement Learning papers| -|[https://github.com/intel/mkl-dnn](intel/mkl-dnn)|1.5k|Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)| -|[https://github.com/minimaxir/automl-gs](minimaxir/automl-gs)|1.5k|Provide an input CSV and a target field to predict, generate a model + code to run it.| -|[https://github.com/sksq96/pytorch-summary](sksq96/pytorch-summary)|1.5k|Model summary in PyTorch similar to `model.summary()` in Keras| -|[https://github.com/kenshohara/3D-ResNets-PyTorch](kenshohara/3D-ResNets-PyTorch)|1.5k|3D ResNets for Action Recognition (CVPR 2018)| -|[https://github.com/Zeta36/chess-alpha-zero](Zeta36/chess-alpha-zero)|1.5k|Chess reinforcement learning by AlphaGo Zero methods.| -|[https://github.com/experiencor/keras-yolo2](experiencor/keras-yolo2)|1.5k|Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon…| -|[https://github.com/asyml/texar](asyml/texar)|1.5k|Toolkit for Machine Learning and Text Generation, in TensorFlow| -|[https://github.com/Qihoo360/XLearning](Qihoo360/XLearning)|1.5k|AI on Hadoop| -|[https://github.com/rguthrie3/DeepLearningForNLPInPytorch](rguthrie3/DeepLearningForNLPInPytorch)|1.5k|An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.| -|[https://github.com/Kyubyong/tacotron](Kyubyong/tacotron)|1.5k|A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model| -|[https://github.com/tomlepaine/fast-wavenet](tomlepaine/fast-wavenet)|1.5k|Speedy Wavenet generation using dynamic programming ⚡️| -|[https://github.com/erhwenkuo/deep-learning-with-keras-notebooks](erhwenkuo/deep-learning-with-keras-notebooks)|1.5k|Jupyter notebooks for using & learning Keras| -|[https://github.com/guillaumegenthial/sequence_tagging](guillaumegenthial/sequence_tagging)|1.5k|Named Entity Recognition (LSTM + CRF) - Tensorflow| -|[https://github.com/williamFalcon/pytorch-lightning](williamFalcon/pytorch-lightning)|1.5k|Rapid research framework for PyTorch. The researcher's version of Keras| -|[https://github.com/ajbrock/BigGAN-PyTorch](ajbrock/BigGAN-PyTorch)|1.5k|The author's officially unofficial PyTorch BigGAN implementation.| -|[https://github.com/autorope/donkeycar](autorope/donkeycar)|1.5k|Open source hardware and software platform to build a small scale self driving car.| -|[https://github.com/keplr-io/quiver](keplr-io/quiver)|1.5k|Interactive convnet features visualization for Keras| -|[https://github.com/tensorflow/datasets](tensorflow/datasets)|1.5k|A collection of datasets ready to use with TensorFlow| -|[https://github.com/knazeri/edge-connect](knazeri/edge-connect)|1.4k|EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212| -|[https://github.com/suragnair/alpha-zero-general](suragnair/alpha-zero-general)|1.4k|A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4| -|[https://github.com/NervanaSystems/coach](NervanaSystems/coach)|1.4k|Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learnin…| -|[https://github.com/microsoft/AutonomousDrivingCookbook](microsoft/AutonomousDrivingCookbook)|1.4k|Scenarios, tutorials and demos for Autonomous Driving| -|[https://github.com/microsoft/human-pose-estimation.pytorch](microsoft/human-pose-estimation.pytorch)|1.4k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| -|[https://github.com/alexsosn/iOS_ML](alexsosn/iOS_ML)|1.4k|List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.| -|[https://github.com/ahangchen/GDLnotes](ahangchen/GDLnotes)|1.4k|Google Deep Learning Notes（TensorFlow教程）| -|[https://github.com/Roujack/mathAI](Roujack/mathAI)|1.4k|一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.| -|[https://github.com/bfortuner/ml-cheatsheet](bfortuner/ml-cheatsheet)|1.4k|Machine learning cheatsheet| -|[https://github.com/kaonashi-tyc/zi2zi](kaonashi-tyc/zi2zi)|1.4k|Learning Chinese Character style with conditional GAN| -|[https://github.com/amusi/AI-Job-Notes](amusi/AI-Job-Notes)|1.4k|AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）| -|[https://github.com/kevinhughes27/TensorKart](kevinhughes27/TensorKart)|1.4k|self-driving MarioKart with TensorFlow| -|[https://github.com/dragen1860/TensorFlow-2.x-Tutorials](dragen1860/TensorFlow-2.x-Tutorials)|1.4k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…| -|[https://github.com/SeldonIO/seldon-server](SeldonIO/seldon-server)|1.4k|Machine Learning Platform and Recommendation Engine built on Kubernetes| -|[https://github.com/deeplearningturkiye/turkce-yapay-zeka-kaynaklari](deeplearningturkiye/turkce-yapay-zeka-kaynaklari)|1.4k|Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.| -|[https://github.com/CSAILVision/gandissect](CSAILVision/gandissect)|1.4k|Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/| -|[https://github.com/ybayle/awesome-deep-learning-music](ybayle/awesome-deep-learning-music)|1.4k|List of articles related to deep learning applied to music| -|[https://github.com/tqchen/tinyflow](tqchen/tinyflow)|1.4k|Tutorial code on how to build your own Deep Learning System in 2k Lines| -|[https://github.com/Determined22/zh-NER-TF](Determined22/zh-NER-TF)|1.4k|A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)| -|[https://github.com/mingyuliutw/UNIT](mingyuliutw/UNIT)|1.4k|Unsupervised Image-to-Image Translation| -|[https://github.com/PetrochukM/PyTorch-NLP](PetrochukM/PyTorch-NLP)|1.4k|Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)| -|[https://github.com/KupynOrest/DeblurGAN](KupynOrest/DeblurGAN)|1.4k|Image Deblurring using Generative Adversarial Networks| -|[https://github.com/Franck-Dernoncourt/NeuroNER](Franck-Dernoncourt/NeuroNER)|1.3k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.| -|[https://github.com/ncullen93/torchsample](ncullen93/torchsample)|1.3k|High-Level Training, Data Augmentation, and Utilities for Pytorch| -|[https://github.com/onnx/models](onnx/models)|1.3k|A collection of pre-trained, state-of-the-art models in the ONNX format| -|[https://github.com/pkmital/CADL](pkmital/CADL)|1.3k|Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow…| -|[https://github.com/philipperemy/tensorflow-1.4-billion-password-analysis](philipperemy/tensorflow-1.4-billion-password-analysis)|1.3k|Deep Learning model to analyze a large corpus of clear text passwords.| -|[https://github.com/YunYang1994/tensorflow-yolov3](YunYang1994/tensorflow-yolov3)|1.3k|🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset| -|[https://github.com/hanleyweng/CoreML-in-ARKit](hanleyweng/CoreML-in-ARKit)|1.3k|Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit…| -|[https://github.com/NVIDIA/DeepRecommender](NVIDIA/DeepRecommender)|1.3k|Deep learning for recommender systems| -|[https://github.com/RiweiChen/DeepFace](RiweiChen/DeepFace)|1.3k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have…| -|[https://github.com/DT42/BerryNet](DT42/BerryNet)|1.3k|Deep learning gateway on Raspberry Pi and other edge devices| -|[https://github.com/microsoft/pai](microsoft/pai)|1.2k|Resource scheduling and cluster management for AI| +|[tensorflow/tensorflow](https://github.com/tensorflow/tensorflow)|132k|An Open Source Machine Learning Framework for Everyone| +|[tensorflow/models](https://github.com/tensorflow/models)|56.3k|Models and examples built with TensorFlow| +|[keras-team/keras](https://github.com/keras-team/keras)|43.4k|Deep Learning for humans| +|[josephmisiti/awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning)|41.2k|A curated list of awesome Machine Learning frameworks, libraries and software.| +|[scikit-learn/scikit-learn](https://github.com/scikit-learn/scikit-learn)|36.5k|scikit-learn: machine learning in Python| +|[aymericdamien/TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|33.3k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| +|[scutan90/DeepLearning-500-questions](https://github.com/scutan90/DeepLearning-500-questions)|32.4k|深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续.....…| +|[pytorch/pytorch](https://github.com/pytorch/pytorch)|30.7k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| +|[BVLC/caffe](https://github.com/BVLC/caffe)|28.8k|Caffe: a fast open framework for deep learning.| +|[exacity/deeplearningbook-chinese](https://github.com/exacity/deeplearningbook-chinese)|25.8k|Deep Learning Book Chinese Translation| +|[imhuay/Algorithm_Interview_Notes-Chinese](https://github.com/imhuay/Algorithm_Interview_Notes-Chinese)|25.7k|2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记| +|[floodsung/Deep-Learning-Papers-Reading-Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)|23.7k|Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!| +|[xitu/gold-miner](https://github.com/xitu/gold-miner)|23.3k|🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：| +|[ZuzooVn/machine-learning-for-software-engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers)|22.3k|A complete daily plan for studying to become a machine learning engineer.| +|[GokuMohandas/practicalAI](https://github.com/GokuMohandas/practicalAI)|19.5k|📚 A practical approach to machine learning.| +|[terryum/awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers)|19.5k|The most cited deep learning papers| +|[apache/incubator-mxnet](https://github.com/apache/incubator-mxnet)|17.5k|Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;…| +|[google-research/bert](https://github.com/google-research/bert)|17.3k|TensorFlow code and pre-trained models for BERT| +|[microsoft/CNTK](https://github.com/microsoft/CNTK)|16.3k|Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit| +|[donnemartin/data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks)|16.2k|Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spar…| +|[ageron/handson-ml](https://github.com/ageron/handson-ml)|16.2k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …| +|[fastai/fastai](https://github.com/fastai/fastai)|15k|The fastai deep learning library, plus lessons and tutorials| +|[jtoy/awesome-tensorflow](https://github.com/jtoy/awesome-tensorflow)|14.8k|TensorFlow - A curated list of dedicated resources http://tensorflow.org| +|[matterport/Mask_RCNN](https://github.com/matterport/Mask_RCNN)|13.4k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow| +|[ChristosChristofidis/awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)|13.3k|A curated list of awesome Deep Learning tutorials, projects and communities.| +|[MLEveryday/100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|12.9k|100-Days-Of-ML-Code中文版| +|[machinelearningmindset/TensorFlow-Course](https://github.com/machinelearningmindset/TensorFlow-Course)|12.9k|Simple and ready-to-use tutorials for TensorFlow| +|[ty4z2008/Qix](https://github.com/ty4z2008/Qix)|12.8k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang| +|[trekhleb/homemade-machine-learning](https://github.com/trekhleb/homemade-machine-learning)|12.8k|🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained| +|[yunjey/pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|12.8k|PyTorch Tutorial for Deep Learning Researchers| +|[kailashahirwar/cheatsheets-ai](https://github.com/kailashahirwar/cheatsheets-ai)|12.5k|Essential Cheat Sheets for deep learning and machine learning researchers| +|[apache/predictionio](https://github.com/apache/predictionio)|12k|PredictionIO, a machine learning server for developers and ML engineers.| +|[eriklindernoren/ML-From-Scratch](https://github.com/eriklindernoren/ML-From-Scratch)|11.8k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| +|[virgili0/Virgilio](https://github.com/virgili0/Virgilio)|11.5k|Your new Mentor for Data Science E-Learning.| +|[dennybritz/reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|11.5k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| +|[fighting41love/funNLP](https://github.com/fighting41love/funNLP)|11.4k|新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增…| +|[jikexueyuanwiki/tensorflow-zh](https://github.com/jikexueyuanwiki/tensorflow-zh)|11.1k|谷歌全新开源人工智能系统TensorFlow官方文档中文版| +|[eclipse/deeplearning4j](https://github.com/eclipse/deeplearning4j)|11k|Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark| +|[mozilla/DeepSpeech](https://github.com/mozilla/DeepSpeech)|10.9k|A TensorFlow implementation of Baidu's DeepSpeech architecture| +|[huggingface/pytorch-transformers](https://github.com/huggingface/pytorch-transformers)|10.6k|👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)| +|[rasbt/python-machine-learning-book](https://github.com/rasbt/python-machine-learning-book)|10.1k|The "Python Machine Learning (1st edition)" book code repository and info resource| +|[mnielsen/neural-networks-and-deep-learning](https://github.com/mnielsen/neural-networks-and-deep-learning)|9.8k|Code samples for my book "Neural Networks and Deep Learning"| +|[karpathy/convnetjs](https://github.com/karpathy/convnetjs)|9.8k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.| +|[NVIDIA/FastPhotoStyle](https://github.com/NVIDIA/FastPhotoStyle)|9.8k|Style transfer, deep learning, feature transform| +|[pytorch/examples](https://github.com/pytorch/examples)|9.7k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.| +|[PaddlePaddle/Paddle](https://github.com/PaddlePaddle/Paddle)|9.6k|PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）| +|[hangtwenty/dive-into-machine-learning](https://github.com/hangtwenty/dive-into-machine-learning)|9.5k|Dive into Machine Learning with Python Jupyter notebook and scikit-learn!| +|[alexjc/neural-enhance](https://github.com/alexjc/neural-enhance)|9.4k|Super Resolution for images using deep learning.| +|[ujjwalkarn/Machine-Learning-Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials)|9.3k|machine learning and deep learning tutorials, articles and other resources| +|[microsoft/LightGBM](https://github.com/microsoft/LightGBM)|9.3k|A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tr…| +|[tflearn/tflearn](https://github.com/tflearn/tflearn)|9.2k|Deep learning library featuring a higher-level API for TensorFlow.| +|[junyanz/pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)|9.2k|Image-to-Image Translation in PyTorch| +|[nndl/nndl.github.io](https://github.com/nndl/nndl.github.io)|9.1k|《神经网络与深度学习》 Neural Network and Deep Learning| +|[rasbt/deeplearning-models](https://github.com/rasbt/deeplearning-models)|9k|A collection of various deep learning architectures, models, and tips| +|[afshinea/stanford-cs-229-machine-learning](https://github.com/afshinea/stanford-cs-229-machine-learning)|8.9k|VIP cheatsheets for Stanford's CS 229 Machine Learning| +|[apple/turicreate](https://github.com/apple/turicreate)|8.9k|Turi Create simplifies the development of custom machine learning models.| +|[chiphuyen/stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials)|8.8k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| +|[davidsandberg/facenet](https://github.com/davidsandberg/facenet)|8.8k|Face recognition using Tensorflow| +|[RedditSota/state-of-the-art-result-for-machine-learning-problems](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems)|8.7k|This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep th…| +|[gunthercox/ChatterBot](https://github.com/gunthercox/ChatterBot)|8.7k|ChatterBot is a machine learning, conversational dialog engine for creating chat bots| +|[tensorflow/tensor2tensor](https://github.com/tensorflow/tensor2tensor)|8.5k|Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.| +|[facebookarchive/caffe2](https://github.com/facebookarchive/caffe2)|8.5k|Caffe2 is a lightweight, modular, and scalable deep learning framework.| +|[vahidk/EffectiveTensorflow](https://github.com/vahidk/EffectiveTensorflow)|8.4k|TensorFlow 1.x and 2.x tutorials and best practices.| +|[kjw0612/awesome-deep-vision](https://github.com/kjw0612/awesome-deep-vision)|8.4k|A curated list of deep learning resources for computer vision| +|[deeppomf/DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|8.3k|Decensoring Hentai with Deep Neural Networks| +|[lengstrom/fast-style-transfer](https://github.com/lengstrom/fast-style-transfer)|8.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| +|[google/dopamine](https://github.com/google/dopamine)|8.2k|Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.| +|[deepmind/sonnet](https://github.com/deepmind/sonnet)|7.8k|TensorFlow-based neural network library| +|[davisking/dlib](https://github.com/davisking/dlib)|7.7k|A toolkit for making real world machine learning and data analysis applications in C++| +|[fchollet/deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)|7.7k|Jupyter notebooks for the code samples of the book "Deep Learning with Python"| +|[bharathgs/Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)|7.6k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…| +|[rushter/MLAlgorithms](https://github.com/rushter/MLAlgorithms)|7.6k|Minimal and clean examples of machine learning algorithms implementations| +|[NVlabs/stylegan](https://github.com/NVlabs/stylegan)|7.5k|StyleGAN - Official TensorFlow Implementation| +|[Hvass-Labs/TensorFlow-Tutorials](https://github.com/Hvass-Labs/TensorFlow-Tutorials)|7.5k|TensorFlow Tutorials with YouTube Videos| +|[jantic/DeOldify](https://github.com/jantic/DeOldify)|7.4k|A Deep Learning based project for colorizing and restoring old images (and video!)| +|[kubeflow/kubeflow](https://github.com/kubeflow/kubeflow)|7.3k|Machine Learning Toolkit for Kubernetes| +|[php-ai/php-ml](https://github.com/php-ai/php-ml)|7.3k|PHP-ML - Machine Learning library for PHP| +|[horovod/horovod](https://github.com/horovod/horovod)|7.2k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| +|[clips/pattern](https://github.com/clips/pattern)|7.1k|Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysi…| +|[vdumoulin/conv_arithmetic](https://github.com/vdumoulin/conv_arithmetic)|7.1k|A technical report on convolution arithmetic in the context of deep learning| +|[zalandoresearch/flair](https://github.com/zalandoresearch/flair)|6.9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)| +|[allenai/allennlp](https://github.com/allenai/allennlp)|6.8k|An open-source NLP research library, built on PyTorch.| +|[llSourcell/Learn_Machine_Learning_in_3_Months](https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months)|6.7k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube| +|[sjwhitworth/golearn](https://github.com/sjwhitworth/golearn)|6.7k|Machine Learning for Go| +|[aleju/imgaug](https://github.com/aleju/imgaug)|6.7k|Image augmentation for machine learning experiments.| +|[NVIDIA/vid2vid](https://github.com/NVIDIA/vid2vid)|6.7k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| +|[justadudewhohacks/face-api.js](https://github.com/justadudewhohacks/face-api.js)|6.6k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js| +|[MorvanZhou/tutorials](https://github.com/MorvanZhou/tutorials)|6.6k|机器学习相关教程| +|[zergtant/pytorch-handbook](https://github.com/zergtant/pytorch-handbook)|6.6k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行| +|[onnx/onnx](https://github.com/onnx/onnx)|6.6k|Open Neural Network Exchange| +|[janishar/mit-deep-learning-book-pdf](https://github.com/janishar/mit-deep-learning-book-pdf)|6.5k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| +|[VowpalWabbit/vowpal_wabbit](https://github.com/VowpalWabbit/vowpal_wabbit)|6.5k|Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as onli…| +|[Unity-Technologies/ml-agents](https://github.com/Unity-Technologies/ml-agents)|6.5k|Unity Machine Learning Agents Toolkit| +|[dotnet/machinelearning](https://github.com/dotnet/machinelearning)|6.3k|ML.NET is an open source and cross-platform machine learning framework for .NET.| +|[marcotcr/lime](https://github.com/marcotcr/lime)|6.3k|Lime: Explaining the predictions of any machine learning classifier| +|[ddbourgin/numpy-ml](https://github.com/ddbourgin/numpy-ml)|6.3k|Machine learning, in numpy| +|[facebookresearch/maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark)|6.2k|Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.| +|[EpistasisLab/tpot](https://github.com/EpistasisLab/tpot)|6.1k|A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.| +|[RasaHQ/rasa](https://github.com/RasaHQ/rasa)|6.1k|💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, c…| +|[slundberg/shap](https://github.com/slundberg/shap)|6.1k|A unified approach to explain the output of any machine learning model.| +|[carpedm20/DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow)|6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"| +|[kmario23/deep-learning-drizzle](https://github.com/kmario23/deep-learning-drizzle)|5.8k|Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from…| +|[keras-team/autokeras](https://github.com/keras-team/autokeras)|5.8k|Accessible AutoML for deep learning.| +|[nlintz/TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.8k|Simple tutorials using Google's TensorFlow Framework| +|[machinelearningmindset/machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|5.8k|💬 Machine Learning Course with Python. Refer to the course page for step-by-step explanations.| +|[hoya012/deep_learning_object_detection](https://github.com/hoya012/deep_learning_object_detection)|5.7k|A paper list of object detection using deep learning.| +|[lutzroeder/netron](https://github.com/lutzroeder/netron)|5.7k|Visualizer for neural network, deep learning and machine learning models| +|[open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection)|5.6k|Open MMLab Detection Toolbox and Benchmark| +|[Swift-AI/Swift-AI](https://github.com/Swift-AI/Swift-AI)|5.6k|The Swift machine learning library.| +|[lexfridman/mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)|5.6k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| +|[PAIR-code/facets](https://github.com/PAIR-code/facets)|5.6k|Visualizations for machine learning datasets| +|[uber/ludwig](https://github.com/uber/ludwig)|5.5k|Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to…| +|[iperov/DeepFaceLab](https://github.com/iperov/DeepFaceLab)|5.5k|DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work stan…| +|[pyro-ppl/pyro](https://github.com/pyro-ppl/pyro)|5.5k|Deep universal probabilistic programming with Python and PyTorch| +|[guess-js/guess](https://github.com/guess-js/guess)|5.4k|Libraries & tools for enabling Machine Learning driven user-experiences on the web| +|[lanpa/tensorboardX](https://github.com/lanpa/tensorboardX)|5.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| +|[fchollet/deep-learning-models](https://github.com/fchollet/deep-learning-models)|5.4k|Keras code and weights files for popular deep learning models.| +|[tensorlayer/tensorlayer](https://github.com/tensorlayer/tensorlayer)|5.4k|Deep Learning and Reinforcement Learning Library for Scientists| +|[chenyuntc/pytorch-book](https://github.com/chenyuntc/pytorch-book)|5.4k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation| +|[wiseodd/generative-models](https://github.com/wiseodd/generative-models)|5.3k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| +|[pkmital/tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)|5.3k|From the basics to slightly more interesting applications of Tensorflow| +|[yenchenlin/DeepLearningFlappyBird](https://github.com/yenchenlin/DeepLearningFlappyBird)|5.3k|Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).| +|[bulletphysics/bullet3](https://github.com/bulletphysics/bullet3)|5.3k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| +|[facebookresearch/pytext](https://github.com/facebookresearch/pytext)|5.3k|A natural language modeling framework based on PyTorch| +|[nfmcclure/tensorflow_cookbook](https://github.com/nfmcclure/tensorflow_cookbook)|5.1k|Code for Tensorflow Machine Learning Cookbook| +|[DmitryUlyanov/deep-image-prior](https://github.com/DmitryUlyanov/deep-image-prior)|5k|Image restoration with neural networks but without learning.| +|[david-gpu/srez](https://github.com/david-gpu/srez)|5k|Image super-resolution through deep learning| +|[ufoym/deepo](https://github.com/ufoym/deepo)|5k|Set up deep learning environment in a single command line.| +|[brightmart/text_classification](https://github.com/brightmart/text_classification)|5k|all kinds of text classification models and more with deep learning| +|[chainer/chainer](https://github.com/chainer/chainer)|5k|A flexible framework of neural networks for deep learning| +|[thtrieu/darkflow](https://github.com/thtrieu/darkflow)|5k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def …| +|[pytorch/fairseq](https://github.com/pytorch/fairseq)|4.9k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| +|[hanxiao/bert-as-service](https://github.com/hanxiao/bert-as-service)|4.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model| +|[dennybritz/cnn-text-classification-tf](https://github.com/dennybritz/cnn-text-classification-tf)|4.9k|Convolutional Neural Network for Text Classification in Tensorflow| +|[google/seq2seq](https://github.com/google/seq2seq)|4.9k|A general-purpose encoder-decoder framework for Tensorflow| +|[Cadene/pretrained-models.pytorch](https://github.com/Cadene/pretrained-models.pytorch)|4.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.| +|[rusty1s/pytorch_geometric](https://github.com/rusty1s/pytorch_geometric)|4.8k|Geometric Deep Learning Extension Library for PyTorch| +|[humphd/have-fun-with-machine-learning](https://github.com/humphd/have-fun-with-machine-learning)|4.8k|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks| +|[vipstone/faceai](https://github.com/vipstone/faceai)|4.8k|一款入门级的人脸、视频、文字检测以及识别的项目.| +|[tensorflow/nmt](https://github.com/tensorflow/nmt)|4.8k|TensorFlow Neural Machine Translation Tutorial| +|[anishathalye/neural-style](https://github.com/anishathalye/neural-style)|4.8k|Neural style in TensorFlow! 🎨| +|[tensorpack/tensorpack](https://github.com/tensorpack/tensorpack)|4.7k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility| +|[transcranial/keras-js](https://github.com/transcranial/keras-js)|4.6k|Run Keras models in the browser, with GPU support using WebGL| +|[airbnb/aerosolve](https://github.com/airbnb/aerosolve)|4.6k|A machine learning package built for humans.| +|[rasbt/python-machine-learning-book-2nd-edition](https://github.com/rasbt/python-machine-learning-book-2nd-edition)|4.5k|The "Python Machine Learning (2nd edition)" book code repository and info resource| +|[tensorflow/swift](https://github.com/tensorflow/swift)|4.5k|Swift for TensorFlow Project Home Page| +|[astorfi/TensorFlow-World](https://github.com/astorfi/TensorFlow-World)|4.4k|🌎 Simple and ready-to-use tutorials for TensorFlow| +|[BinRoot/TensorFlow-Book](https://github.com/BinRoot/TensorFlow-Book)|4.3k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.| +|[zihangdai/xlnet](https://github.com/zihangdai/xlnet)|4.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| +|[blei-lab/edward](https://github.com/blei-lab/edward)|4.3k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| +|[Alluxio/alluxio](https://github.com/Alluxio/alluxio)|4.3k|Alluxio, data orchestration for analytics and machine learning in the cloud| +|[yunjey/stargan](https://github.com/yunjey/stargan)|4k|Official PyTorch Implementation of StarGAN - CVPR 2018| +|[keras-rl/keras-rl](https://github.com/keras-rl/keras-rl)|4k|Deep Reinforcement Learning for Keras.| +|[tensorspace-team/tensorspace](https://github.com/tensorspace-team/tensorspace)|3.9k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained dee…| +|[microsoft/MMdnn](https://github.com/microsoft/MMdnn)|3.9k|MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion a…| +|[ashnkumar/sketch-code](https://github.com/ashnkumar/sketch-code)|3.9k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| +|[jwyang/faster-rcnn.pytorch](https://github.com/jwyang/faster-rcnn.pytorch)|3.9k|A faster pytorch implementation of faster r-cnn| +|[eriklindernoren/PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|3.8k|PyTorch implementations of Generative Adversarial Networks.| +|[graykode/nlp-tutorial](https://github.com/graykode/nlp-tutorial)|3.8k|Natural Language Processing Tutorial for Deep Learning Researchers| +|[NVIDIA/pix2pixHD](https://github.com/NVIDIA/pix2pixHD)|3.8k|Synthesizing and manipulating 2048x1024 images with conditional GANs| +|[photoprism/photoprism](https://github.com/photoprism/photoprism)|3.8k|Personal Photo Management powered by Go and Google TensorFlow| +|[ritchieng/the-incredible-pytorch](https://github.com/ritchieng/the-incredible-pytorch)|3.8k|The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.| +|[PipelineAI/pipeline](https://github.com/PipelineAI/pipeline)|3.7k|PipelineAI: Real-Time Enterprise AI Platform| +|[tensorflow/serving](https://github.com/tensorflow/serving)|3.7k|A flexible, high-performance serving system for machine learning models| +|[OpenMined/PySyft](https://github.com/OpenMined/PySyft)|3.7k|A library for encrypted, privacy preserving deep learning| +|[hunkim/DeepLearningZeroToAll](https://github.com/hunkim/DeepLearningZeroToAll)|3.6k|TensorFlow Basic Tutorial Labs| +|[deepmind/graph_nets](https://github.com/deepmind/graph_nets)|3.6k|Build Graph Nets in Tensorflow| +|[spro/practical-pytorch](https://github.com/spro/practical-pytorch)|3.5k|PyTorch tutorials demonstrating modern techniques with readable code| +|[naturomics/CapsNet-Tensorflow](https://github.com/naturomics/CapsNet-Tensorflow)|3.5k|A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules| +|[xitu/tensorflow-docs](https://github.com/xitu/tensorflow-docs)|3.5k|TensorFlow 最新官方文档中文版| +|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|3.5k|Build your neural network easy and fast| +|[deepmipt/DeepPavlov](https://github.com/deepmipt/DeepPavlov)|3.3k|An open source library for deep learning end-to-end dialog systems and chatbots.| +|[MorvanZhou/Tensorflow-Tutorial](https://github.com/MorvanZhou/Tensorflow-Tutorial)|3.3k|Tensorflow tutorial from basic to hard| +|[balancap/SSD-Tensorflow](https://github.com/balancap/SSD-Tensorflow)|3.3k|Single Shot MultiBox Detector in TensorFlow| +|[yandexdataschool/Practical_RL](https://github.com/yandexdataschool/Practical_RL)|3.3k|A course in reinforcement learning in the wild| +|[hwalsuklee/tensorflow-generative-model-collections](https://github.com/hwalsuklee/tensorflow-generative-model-collections)|3.3k|Collection of generative models in Tensorflow| +|[OpenNMT/OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py)|3.3k|Open Source Neural Machine Translation in PyTorch| +|[yahoo/TensorFlowOnSpark](https://github.com/yahoo/TensorFlowOnSpark)|3.2k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| +|[apachecn/hands-on-ml-zh](https://github.com/apachecn/hands-on-ml-zh)|3.1k|📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】| +|[cchen156/Learning-to-See-in-the-Dark](https://github.com/cchen156/Learning-to-See-in-the-Dark)|3.1k|Learning to See in the Dark. CVPR 2018| +|[1adrianb/face-alignment](https://github.com/1adrianb/face-alignment)|3k|🔥 2D and 3D Face alignment library build using pytorch| +|[jcjohnson/pytorch-examples](https://github.com/jcjohnson/pytorch-examples)|3k|Simple examples to introduce PyTorch| +|[jadore801120/attention-is-all-you-need-pytorch](https://github.com/jadore801120/attention-is-all-you-need-pytorch)|3k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| +|[MVIG-SJTU/AlphaPose](https://github.com/MVIG-SJTU/AlphaPose)|3k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| +|[CorentinJ/Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|3k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| +|[MrGemy95/Tensorflow-Project-Template](https://github.com/MrGemy95/Tensorflow-Project-Template)|3k|A best practice for tensorflow project template architecture.| +|[endernewton/tf-faster-rcnn](https://github.com/endernewton/tf-faster-rcnn)|2.9k|Tensorflow Faster RCNN for Object Detection| +|[vespa-engine/vespa](https://github.com/vespa-engine/vespa)|2.9k|Vespa is an engine for low-latency computation over large data sets.| +|[minimaxir/textgenrnn](https://github.com/minimaxir/textgenrnn)|2.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| +|[CharlesShang/FastMaskRCNN](https://github.com/CharlesShang/FastMaskRCNN)|2.9k|Mask RCNN in TensorFlow| +|[tensorflow/lucid](https://github.com/tensorflow/lucid)|2.8k|A collection of infrastructure and tools for research in neural network interpretability.| +|[NirantK/awesome-project-ideas](https://github.com/NirantK/awesome-project-ideas)|2.8k|Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas| +|[easy-tensorflow/easy-tensorflow](https://github.com/easy-tensorflow/easy-tensorflow)|2.8k|Simple and comprehensive tutorials in TensorFlow| +|[tensorflow/adanet](https://github.com/tensorflow/adanet)|2.8k|Fast and flexible AutoML with learning guarantees.| +|[handong1587/handong1587.github.io](https://github.com/handong1587/handong1587.github.io)|2.7k|| +|[jinfagang/tensorflow_poems](https://github.com/jinfagang/tensorflow_poems)|2.7k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！| +|[codertimo/BERT-pytorch](https://github.com/codertimo/BERT-pytorch)|2.7k|Google AI 2018 BERT pytorch implementation| +|[mbadry1/DeepLearning.ai-Summary](https://github.com/mbadry1/DeepLearning.ai-Summary)|2.7k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…| +|[AKSHAYUBHAT/DeepVideoAnalytics](https://github.com/AKSHAYUBHAT/DeepVideoAnalytics)|2.7k|A distributed visual search and visual data analytics platform.| +|[taki0112/Tensorflow-Cookbook](https://github.com/taki0112/Tensorflow-Cookbook)|2.7k|Simple Tensorflow Cookbook for easy-to-use| +|[hunkim/PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll)|2.7k|Simple PyTorch Tutorials Zero to ALL!| +|[andri27-ts/60_Days_RL_Challenge](https://github.com/andri27-ts/60_Days_RL_Challenge)|2.7k|Learn Deep Reinforcement Learning in Depth in 60 days| +|[yusugomori/DeepLearning](https://github.com/yusugomori/DeepLearning)|2.7k|Deep Learning (Python, C, C++, Java, Scala, Go)| +|[migueldeicaza/TensorFlowSharp](https://github.com/migueldeicaza/TensorFlowSharp)|2.7k|TensorFlow API for .NET languages| +|[gorgonia/gorgonia](https://github.com/gorgonia/gorgonia)|2.7k|Gorgonia is a library that helps facilitate machine learning in Go.| +|[facebookresearch/pythia](https://github.com/facebookresearch/pythia)|2.7k|A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)| +|[NTMC-Community/MatchZoo](https://github.com/NTMC-Community/MatchZoo)|2.6k|Facilitating the design, comparison and sharing of deep text matching models.| +|[amdegroot/ssd.pytorch](https://github.com/amdegroot/ssd.pytorch)|2.6k|A PyTorch Implementation of Single Shot MultiBox Detector| +|[dmlc/dgl](https://github.com/dmlc/dgl)|2.6k|Python package built to ease deep learning on graph, on top of existing DL frameworks.| +|[pandas-profiling/pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)|2.6k|Create HTML profiling reports from pandas DataFrame objects| +|[leriomaggio/deep-learning-keras-tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow)|2.6k|Introduction to Deep Neural Networks with Keras and Tensorflow| +|[rasbt/deep-learning-book](https://github.com/rasbt/deep-learning-book)|2.6k|Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …| +|[amusi/daily-paper-computer-vision](https://github.com/amusi/daily-paper-computer-vision)|2.5k|记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文| +|[ildoonet/tf-pose-estimation](https://github.com/ildoonet/tf-pose-estimation)|2.5k|Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.| +|[jostmey/NakedTensor](https://github.com/jostmey/NakedTensor)|2.5k|Bare bone examples of machine learning in TensorFlow| +|[hybridgroup/gocv](https://github.com/hybridgroup/gocv)|2.5k|Go package for computer vision using OpenCV 4 and beyond.| +|[zzw922cn/Automatic_Speech_Recognition](https://github.com/zzw922cn/Automatic_Speech_Recognition)|2.5k|End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow| +|[Conchylicultor/DeepQA](https://github.com/Conchylicultor/DeepQA)|2.5k|My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot| +|[makegirlsmoe/makegirlsmoe_web](https://github.com/makegirlsmoe/makegirlsmoe_web)|2.5k|Create Anime Characters with MakeGirlsMoe| +|[deeplearning-ai/machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)|2.4k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| +|[gaussic/text-classification-cnn-rnn](https://github.com/gaussic/text-classification-cnn-rnn)|2.4k|CNN-RNN中文文本分类，基于TensorFlow| +|[allmachinelearning/MachineLearning](https://github.com/allmachinelearning/MachineLearning)|2.4k|Machine learning resources| +|[tensorforce/tensorforce](https://github.com/tensorforce/tensorforce)|2.4k|Tensorforce: a TensorFlow library for applied reinforcement learning| +|[zeusees/HyperLPR](https://github.com/zeusees/HyperLPR)|2.4k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| +|[Tencent/tencent-ml-images](https://github.com/Tencent/tencent-ml-images)|2.4k|Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet| +|[jisungk/deepjazz](https://github.com/jisungk/deepjazz)|2.4k|Deep learning driven jazz generation using Keras & Theano!| +|[foolwood/benchmark_results](https://github.com/foolwood/benchmark_results)|2.4k|Visual Tracking Paper List| +|[guillaume-chevalier/LSTM-Human-Activity-Recognition](https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition)|2.3k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo…| +|[cysmith/neural-style-tf](https://github.com/cysmith/neural-style-tf)|2.3k|TensorFlow (Python API) implementation of Neural Style| +|[microsoft/tensorwatch](https://github.com/microsoft/tensorwatch)|2.3k|Debugging, monitoring and visualization for Python Machine Learning and Data Science| +|[stanfordnlp/stanfordnlp](https://github.com/stanfordnlp/stanfordnlp)|2.3k|Official Stanford NLP Python Library for Many Human Languages| +|[PaddlePaddle/VisualDL](https://github.com/PaddlePaddle/VisualDL)|2.3k|A platform to visualize the deep learning process and result.| +|[d2l-ai/d2l-en](https://github.com/d2l-ai/d2l-en)|2.3k|Dive into Deep Learning: an interactive deep learning book with code, math, and discussions| +|[raghakot/keras-vis](https://github.com/raghakot/keras-vis)|2.3k|Neural network visualization toolkit for keras| +|[yzhao062/pyod](https://github.com/yzhao062/pyod)|2.3k|A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)| +|[NELSONZHAO/zhihu](https://github.com/NELSONZHAO/zhihu)|2.3k|This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Pyt…| +|[eragonruan/text-detection-ctpn](https://github.com/eragonruan/text-detection-ctpn)|2.3k|text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network| +|[cloud-annotations/training](https://github.com/cloud-annotations/training)|2.3k|🐝 Custom Object Detection and Classification Training| +|[gluon-api/gluon-api](https://github.com/gluon-api/gluon-api)|2.3k|A clear, concise, simple yet powerful and efficient API for deep learning.| +|[CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial](https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial)|2.3k|A TensorFlow & Deep Learning online course I taught in 2016| +|[opencv/cvat](https://github.com/opencv/cvat)|2.3k|Powerful and efficient Computer Vision Annotation Tool (CVAT)| +|[tensorflow/probability](https://github.com/tensorflow/probability)|2.3k|Probabilistic reasoning and statistical analysis in TensorFlow| +|[rlcode/reinforcement-learning](https://github.com/rlcode/reinforcement-learning)|2.3k|Minimal and Clean Reinforcement Learning Examples| +|[ysh329/deep-learning-model-convertor](https://github.com/ysh329/deep-learning-model-convertor)|2.2k|The convertor/conversion of deep learning models for different deep learning frameworks/softwares.| +|[horance-liu/tensorflow-internals](https://github.com/horance-liu/tensorflow-internals)|2.2k|It is open source ebook about TensorFlow kernel and implementation mechanism.| +|[quark0/darts](https://github.com/quark0/darts)|2.2k|Differentiable architecture search for convolutional and recurrent networks| +|[tryolabs/luminoth](https://github.com/tryolabs/luminoth)|2.2k|Deep Learning toolkit for Computer Vision| +|[OpenNMT/OpenNMT](https://github.com/OpenNMT/OpenNMT)|2.2k|Open Source Neural Machine Translation in Torch| +|[Tencent/PocketFlow](https://github.com/Tencent/PocketFlow)|2.2k|An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.| +|[udacity/deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch)|2.1k|Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegre…| +|[DSKSD/DeepNLP-models-Pytorch](https://github.com/DSKSD/DeepNLP-models-Pytorch)|2.1k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)| +|[dusty-nv/jetson-inference](https://github.com/dusty-nv/jetson-inference)|2.1k|Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.| +|[richzhang/colorization](https://github.com/richzhang/colorization)|2.1k|Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.| +|[meetshah1995/pytorch-semseg](https://github.com/meetshah1995/pytorch-semseg)|2.1k|Semantic Segmentation Architectures Implemented in PyTorch| +|[charlesq34/pointnet](https://github.com/charlesq34/pointnet)|2.1k|PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation| +|[polyaxon/polyaxon](https://github.com/polyaxon/polyaxon)|2.1k|A platform for reproducible and scalable machine learning and deep learning on kubernetes| +|[smallcorgi/Faster-RCNN_TF](https://github.com/smallcorgi/Faster-RCNN_TF)|2.1k|Faster-RCNN in Tensorflow| +|[goq/telegram-list](https://github.com/goq/telegram-list)|2k|List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для пр…| +|[cleardusk/3DDFA](https://github.com/cleardusk/3DDFA)|2k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| +|[junyanz/interactive-deep-colorization](https://github.com/junyanz/interactive-deep-colorization)|2k|Deep learning software for colorizing black and white images with a few clicks.| +|[samjabrahams/tensorflow-on-raspberry-pi](https://github.com/samjabrahams/tensorflow-on-raspberry-pi)|2k|TensorFlow for Raspberry Pi| +|[NervanaSystems/nlp-architect](https://github.com/NervanaSystems/nlp-architect)|2k|NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techn…| +|[pytorch/ignite](https://github.com/pytorch/ignite)|2k|High-level library to help with training neural networks in PyTorch| +|[ultralytics/yolov3](https://github.com/ultralytics/yolov3)|2k|YOLOv3 in PyTorch > ONNX > CoreML > iOS| +|[endymecy/awesome-deeplearning-resources](https://github.com/endymecy/awesome-deeplearning-resources)|2k|Deep Learning and deep reinforcement learning research papers and some codes| +|[koth/kcws](https://github.com/koth/kcws)|2k|Deep Learning Chinese Word Segment| +|[argman/EAST](https://github.com/argman/EAST)|1.9k|A tensorflow implementation of EAST text detector| +|[ajbrock/Neural-Photo-Editor](https://github.com/ajbrock/Neural-Photo-Editor)|1.9k|A simple interface for editing natural photos with generative neural networks.| +|[paarthneekhara/text-to-image](https://github.com/paarthneekhara/text-to-image)|1.9k|Text to image synthesis using thought vectors| +|[facebookresearch/ELF](https://github.com/facebookresearch/ELF)|1.9k|An End-To-End, Lightweight and Flexible Platform for Game Research| +|[tensorflow/rust](https://github.com/tensorflow/rust)|1.9k|Rust language bindings for TensorFlow| +|[awjuliani/DeepRL-Agents](https://github.com/awjuliani/DeepRL-Agents)|1.9k|A set of Deep Reinforcement Learning Agents implemented in Tensorflow.| +|[lakshayg/tensorflow-build](https://github.com/lakshayg/tensorflow-build)|1.9k|TensorFlow binaries supporting AVX, FMA, SSE| +|[aleju/papers](https://github.com/aleju/papers)|1.9k|Summaries of machine learning papers| +|[golbin/TensorFlow-Tutorials](https://github.com/golbin/TensorFlow-Tutorials)|1.9k|텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다| +|[jolibrain/deepdetect](https://github.com/jolibrain/deepdetect)|1.9k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE| +|[fo40225/tensorflow-windows-wheel](https://github.com/fo40225/tensorflow-windows-wheel)|1.9k|Tensorflow prebuilt binary for Windows| +|[robi56/Deep-Learning-for-Recommendation-Systems](https://github.com/robi56/Deep-Learning-for-Recommendation-Systems)|1.9k|This repository contains Deep Learning based articles , paper and repositories for Recommender Systems| +|[tensorlayer/srgan](https://github.com/tensorlayer/srgan)|1.9k|Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network| +|[pannous/tensorflow-speech-recognition](https://github.com/pannous/tensorflow-speech-recognition)|1.9k|🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks| +|[salesforce/decaNLP](https://github.com/salesforce/decaNLP)|1.9k|The Natural Language Decathlon: A Multitask Challenge for NLP| +|[TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials)|1.9k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| +|[google/tangent](https://github.com/google/tangent)|1.9k|Source-to-Source Debuggable Derivatives in Pure Python| +|[shenweichen/DeepCTR](https://github.com/shenweichen/DeepCTR)|1.8k|Easy-to-use,Modular and Extendible package of deep-learning based CTR models.| +|[tensorflow/docs](https://github.com/tensorflow/docs)|1.8k|TensorFlow documentation| +|[pytorch/text](https://github.com/pytorch/text)|1.8k|Data loaders and abstractions for text and NLP| +|[astorfi/TensorFlow-Roadmap](https://github.com/astorfi/TensorFlow-Roadmap)|1.8k|📡 Organized & Useful Resources about Deep Learning with TensorFlow| +|[avinashpaliwal/Super-SloMo](https://github.com/avinashpaliwal/Super-SloMo)|1.8k|PyTorch implementation of Super SloMo by Jiang et al.| +|[simoninithomas/Deep_reinforcement_learning_Course](https://github.com/simoninithomas/Deep_reinforcement_learning_Course)|1.8k|Implementations from the free course Deep Reinforcement Learning with Tensorflow| +|[maciejkula/spotlight](https://github.com/maciejkula/spotlight)|1.8k|Deep recommender models using PyTorch.| +|[foolwood/SiamMask](https://github.com/foolwood/SiamMask)|1.8k|[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach| +|[wb14123/seq2seq-couplet](https://github.com/wb14123/seq2seq-couplet)|1.8k|Play couplet with seq2seq model. 用深度学习对对联。| +|[dmlc/gluon-nlp](https://github.com/dmlc/gluon-nlp)|1.7k|NLP made easy| +|[philipperemy/keras-attention-mechanism](https://github.com/philipperemy/keras-attention-mechanism)|1.7k|Attention mechanism Implementation for Keras.| +|[EthicalML/awesome-production-machine-learning](https://github.com/EthicalML/awesome-production-machine-learning)|1.7k|A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning| +|[wzhe06/Ad-papers](https://github.com/wzhe06/Ad-papers)|1.7k|Papers on Computational Advertising| +|[szilard/benchm-ml](https://github.com/szilard/benchm-ml)|1.7k|A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…| +|[tensorflow/lingvo](https://github.com/tensorflow/lingvo)|1.7k|Lingvo| +|[google/deepvariant](https://github.com/google/deepvariant)|1.7k|DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA…| +|[bytedance/byteps](https://github.com/bytedance/byteps)|1.7k|A high performance and general PS framework for distributed training| +|[tensorflow/hub](https://github.com/tensorflow/hub)|1.7k|A library for transfer learning by reusing parts of TensorFlow models.| +|[deepchem/deepchem](https://github.com/deepchem/deepchem)|1.7k|Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology| +|[thu-ml/zhusuan](https://github.com/thu-ml/zhusuan)|1.7k|A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow| +|[xmartlabs/Bender](https://github.com/xmartlabs/Bender)|1.7k|Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.| +|[tobegit3hub/tensorflow_template_application](https://github.com/tobegit3hub/tensorflow_template_application)|1.7k|TensorFlow template application for deep learning| +|[MrNothing/AI-Blocks](https://github.com/MrNothing/AI-Blocks)|1.7k|A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!| +|[GauravBh1010tt/DeepLearn](https://github.com/GauravBh1010tt/DeepLearn)|1.7k|Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.| +|[nl8590687/ASRT_SpeechRecognition](https://github.com/nl8590687/ASRT_SpeechRecognition)|1.7k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统| +|[GeorgeSeif/Semantic-Segmentation-Suite](https://github.com/GeorgeSeif/Semantic-Segmentation-Suite)|1.7k|Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!| +|[abhshkdz/ai-deadlines](https://github.com/abhshkdz/ai-deadlines)|1.7k|⏰ AI conference deadline countdowns| +|[taolei87/sru](https://github.com/taolei87/sru)|1.7k|Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)| +|[Picovoice/Porcupine](https://github.com/Picovoice/Porcupine)|1.7k|On-device wake word detection powered by deep learning.| +|[junxiaosong/AlphaZero_Gomoku](https://github.com/junxiaosong/AlphaZero_Gomoku)|1.7k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| +|[NVlabs/MUNIT](https://github.com/NVlabs/MUNIT)|1.7k|Multimodal Unsupervised Image-to-Image Translation| +|[Azure/mmlspark](https://github.com/Azure/mmlspark)|1.6k|Microsoft Machine Learning for Apache Spark| +|[SummitKwan/transparent_latent_gan](https://github.com/SummitKwan/transparent_latent_gan)|1.6k|Use supervised learning to illuminate the latent space of GAN for controlled generation and edit| +|[floodsung/Meta-Learning-Papers](https://github.com/floodsung/Meta-Learning-Papers)|1.6k|Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning| +|[FluxML/Flux.jl](https://github.com/FluxML/Flux.jl)|1.6k|Relax! Flux is the ML library that doesn't make you tensor| +|[sachinruk/deepschool.io](https://github.com/sachinruk/deepschool.io)|1.6k|Deep Learning tutorials in jupyter notebooks.| +|[keithito/tacotron](https://github.com/keithito/tacotron)|1.6k|A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)| +|[leoxiaobin/deep-high-resolution-net.pytorch](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch)|1.6k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…| +|[microsoft/VoTT](https://github.com/microsoft/VoTT)|1.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.| +|[alibaba/euler](https://github.com/alibaba/euler)|1.6k|A distributed graph deep learning framework.| +|[NVIDIA/DALI](https://github.com/NVIDIA/DALI)|1.6k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…| +|[Honlan/DeepInterests](https://github.com/Honlan/DeepInterests)|1.6k|深度有趣| +|[dmlc/nnvm](https://github.com/dmlc/nnvm)|1.6k|move to https://github.com/dmlc/tvm/| +|[deepmind/dm_control](https://github.com/deepmind/dm_control)|1.6k|The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo ph…| +|[ikostrikov/pytorch-a2c-ppo-acktr-gail](https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail)|1.5k|PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region met…| +|[INTERMT/Awesome-PyTorch-Chinese](https://github.com/INTERMT/Awesome-PyTorch-Chinese)|1.5k|【干货】史上最全的PyTorch学习资源汇总| +|[carpedm20/deep-rl-tensorflow](https://github.com/carpedm20/deep-rl-tensorflow)|1.5k|TensorFlow implementation of Deep Reinforcement Learning papers| +|[intel/mkl-dnn](https://github.com/intel/mkl-dnn)|1.5k|Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)| +|[minimaxir/automl-gs](https://github.com/minimaxir/automl-gs)|1.5k|Provide an input CSV and a target field to predict, generate a model + code to run it.| +|[sksq96/pytorch-summary](https://github.com/sksq96/pytorch-summary)|1.5k|Model summary in PyTorch similar to `model.summary()` in Keras| +|[kenshohara/3D-ResNets-PyTorch](https://github.com/kenshohara/3D-ResNets-PyTorch)|1.5k|3D ResNets for Action Recognition (CVPR 2018)| +|[Zeta36/chess-alpha-zero](https://github.com/Zeta36/chess-alpha-zero)|1.5k|Chess reinforcement learning by AlphaGo Zero methods.| +|[experiencor/keras-yolo2](https://github.com/experiencor/keras-yolo2)|1.5k|Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon…| +|[asyml/texar](https://github.com/asyml/texar)|1.5k|Toolkit for Machine Learning and Text Generation, in TensorFlow| +|[Qihoo360/XLearning](https://github.com/Qihoo360/XLearning)|1.5k|AI on Hadoop| +|[rguthrie3/DeepLearningForNLPInPytorch](https://github.com/rguthrie3/DeepLearningForNLPInPytorch)|1.5k|An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.| +|[Kyubyong/tacotron](https://github.com/Kyubyong/tacotron)|1.5k|A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model| +|[tomlepaine/fast-wavenet](https://github.com/tomlepaine/fast-wavenet)|1.5k|Speedy Wavenet generation using dynamic programming ⚡️| +|[erhwenkuo/deep-learning-with-keras-notebooks](https://github.com/erhwenkuo/deep-learning-with-keras-notebooks)|1.5k|Jupyter notebooks for using & learning Keras| +|[guillaumegenthial/sequence_tagging](https://github.com/guillaumegenthial/sequence_tagging)|1.5k|Named Entity Recognition (LSTM + CRF) - Tensorflow| +|[williamFalcon/pytorch-lightning](https://github.com/williamFalcon/pytorch-lightning)|1.5k|Rapid research framework for PyTorch. The researcher's version of Keras| +|[ajbrock/BigGAN-PyTorch](https://github.com/ajbrock/BigGAN-PyTorch)|1.5k|The author's officially unofficial PyTorch BigGAN implementation.| +|[autorope/donkeycar](https://github.com/autorope/donkeycar)|1.5k|Open source hardware and software platform to build a small scale self driving car.| +|[keplr-io/quiver](https://github.com/keplr-io/quiver)|1.5k|Interactive convnet features visualization for Keras| +|[tensorflow/datasets](https://github.com/tensorflow/datasets)|1.5k|A collection of datasets ready to use with TensorFlow| +|[knazeri/edge-connect](https://github.com/knazeri/edge-connect)|1.4k|EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212| +|[suragnair/alpha-zero-general](https://github.com/suragnair/alpha-zero-general)|1.4k|A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4| +|[NervanaSystems/coach](https://github.com/NervanaSystems/coach)|1.4k|Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learnin…| +|[microsoft/AutonomousDrivingCookbook](https://github.com/microsoft/AutonomousDrivingCookbook)|1.4k|Scenarios, tutorials and demos for Autonomous Driving| +|[microsoft/human-pose-estimation.pytorch](https://github.com/microsoft/human-pose-estimation.pytorch)|1.4k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| +|[alexsosn/iOS_ML](https://github.com/alexsosn/iOS_ML)|1.4k|List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.| +|[ahangchen/GDLnotes](https://github.com/ahangchen/GDLnotes)|1.4k|Google Deep Learning Notes（TensorFlow教程）| +|[Roujack/mathAI](https://github.com/Roujack/mathAI)|1.4k|一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.| +|[bfortuner/ml-cheatsheet](https://github.com/bfortuner/ml-cheatsheet)|1.4k|Machine learning cheatsheet| +|[kaonashi-tyc/zi2zi](https://github.com/kaonashi-tyc/zi2zi)|1.4k|Learning Chinese Character style with conditional GAN| +|[amusi/AI-Job-Notes](https://github.com/amusi/AI-Job-Notes)|1.4k|AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）| +|[kevinhughes27/TensorKart](https://github.com/kevinhughes27/TensorKart)|1.4k|self-driving MarioKart with TensorFlow| +|[dragen1860/TensorFlow-2.x-Tutorials](https://github.com/dragen1860/TensorFlow-2.x-Tutorials)|1.4k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…| +|[SeldonIO/seldon-server](https://github.com/SeldonIO/seldon-server)|1.4k|Machine Learning Platform and Recommendation Engine built on Kubernetes| +|[deeplearningturkiye/turkce-yapay-zeka-kaynaklari](https://github.com/deeplearningturkiye/turkce-yapay-zeka-kaynaklari)|1.4k|Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.| +|[CSAILVision/gandissect](https://github.com/CSAILVision/gandissect)|1.4k|Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/| +|[ybayle/awesome-deep-learning-music](https://github.com/ybayle/awesome-deep-learning-music)|1.4k|List of articles related to deep learning applied to music| +|[tqchen/tinyflow](https://github.com/tqchen/tinyflow)|1.4k|Tutorial code on how to build your own Deep Learning System in 2k Lines| +|[Determined22/zh-NER-TF](https://github.com/Determined22/zh-NER-TF)|1.4k|A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)| +|[mingyuliutw/UNIT](https://github.com/mingyuliutw/UNIT)|1.4k|Unsupervised Image-to-Image Translation| +|[PetrochukM/PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP)|1.4k|Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)| +|[KupynOrest/DeblurGAN](https://github.com/KupynOrest/DeblurGAN)|1.4k|Image Deblurring using Generative Adversarial Networks| +|[Franck-Dernoncourt/NeuroNER](https://github.com/Franck-Dernoncourt/NeuroNER)|1.3k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.| +|[ncullen93/torchsample](https://github.com/ncullen93/torchsample)|1.3k|High-Level Training, Data Augmentation, and Utilities for Pytorch| +|[onnx/models](https://github.com/onnx/models)|1.3k|A collection of pre-trained, state-of-the-art models in the ONNX format| +|[pkmital/CADL](https://github.com/pkmital/CADL)|1.3k|Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow…| +|[philipperemy/tensorflow-1.4-billion-password-analysis](https://github.com/philipperemy/tensorflow-1.4-billion-password-analysis)|1.3k|Deep Learning model to analyze a large corpus of clear text passwords.| +|[YunYang1994/tensorflow-yolov3](https://github.com/YunYang1994/tensorflow-yolov3)|1.3k|🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset| +|[hanleyweng/CoreML-in-ARKit](https://github.com/hanleyweng/CoreML-in-ARKit)|1.3k|Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit…| +|[NVIDIA/DeepRecommender](https://github.com/NVIDIA/DeepRecommender)|1.3k|Deep learning for recommender systems| +|[RiweiChen/DeepFace](https://github.com/RiweiChen/DeepFace)|1.3k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have…| +|[DT42/BerryNet](https://github.com/DT42/BerryNet)|1.3k|Deep learning gateway on Raspberry Pi and other edge devices| +|[microsoft/pai](https://github.com/microsoft/pai)|1.2k|Resource scheduling and cluster management for AI| diff --git a/scripts/generate_stats.py b/scripts/generate_stats.py index 0dbb507..402ab17 100644 --- a/scripts/generate_stats.py +++ b/scripts/generate_stats.py @@ -85,7 +85,7 @@ def build_html_fields(d): return ['%s' % (d['url'], d['title']), d['stars_unparsed'], d['desc']] def build_md_fields(d): - return ['[%s](%s)' % (d['url'], d['title']), d['stars_unparsed'], d['desc']] + return ['[%s](%s)' % (d['title'], d['url']), d['stars_unparsed'], d['desc']] html = '' md = '| Project Name | Stars | Description |\n| ------- | ------ | ------ |\n' From f40caca7f3194efa816c5a6ec3ff62bdb5a943fa Mon Sep 17 00:00:00 2001 From: aymericdamien Date: Sun, 11 Aug 2019 00:34:39 -0700 Subject: [PATCH 03/10] fix --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 5be64b9..cc84c22 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,7 @@ A list of popular github projects related to deep learning (ranked by stars). Last Update: 2018.08.11 + | Project Name | Stars | Description | | ------- | ------ | ------ | |[tensorflow/tensorflow](https://github.com/tensorflow/tensorflow)|132k|An Open Source Machine Learning Framework for Everyone| From 1affbbd0eb8ca0904116a619a3f2aa4f82b8479a Mon Sep 17 00:00:00 2001 From: aymericdamien Date: Mon, 12 Aug 2019 00:39:46 -0700 Subject: [PATCH 04/10] remove full title --- README.md | 765 +++++++++++++++++++------------------- scripts/generate_stats.py | 4 +- 2 files changed, 385 insertions(+), 384 deletions(-) diff --git a/README.md b/README.md index cc84c22..e775afb 100644 --- a/README.md +++ b/README.md @@ -1,388 +1,389 @@ # Top Deep Learning Projects A list of popular github projects related to deep learning (ranked by stars). -Last Update: 2018.08.11 +Last Update: 2018.08.12 | Project Name | Stars | Description | | ------- | ------ | ------ | -|[tensorflow/tensorflow](https://github.com/tensorflow/tensorflow)|132k|An Open Source Machine Learning Framework for Everyone| -|[tensorflow/models](https://github.com/tensorflow/models)|56.3k|Models and examples built with TensorFlow| -|[keras-team/keras](https://github.com/keras-team/keras)|43.4k|Deep Learning for humans| -|[josephmisiti/awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning)|41.2k|A curated list of awesome Machine Learning frameworks, libraries and software.| -|[scikit-learn/scikit-learn](https://github.com/scikit-learn/scikit-learn)|36.5k|scikit-learn: machine learning in Python| -|[aymericdamien/TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|33.3k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| -|[scutan90/DeepLearning-500-questions](https://github.com/scutan90/DeepLearning-500-questions)|32.4k|深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续.....…| -|[pytorch/pytorch](https://github.com/pytorch/pytorch)|30.7k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| -|[BVLC/caffe](https://github.com/BVLC/caffe)|28.8k|Caffe: a fast open framework for deep learning.| -|[exacity/deeplearningbook-chinese](https://github.com/exacity/deeplearningbook-chinese)|25.8k|Deep Learning Book Chinese Translation| -|[imhuay/Algorithm_Interview_Notes-Chinese](https://github.com/imhuay/Algorithm_Interview_Notes-Chinese)|25.7k|2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记| -|[floodsung/Deep-Learning-Papers-Reading-Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)|23.7k|Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!| -|[xitu/gold-miner](https://github.com/xitu/gold-miner)|23.3k|🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：| -|[ZuzooVn/machine-learning-for-software-engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers)|22.3k|A complete daily plan for studying to become a machine learning engineer.| -|[GokuMohandas/practicalAI](https://github.com/GokuMohandas/practicalAI)|19.5k|📚 A practical approach to machine learning.| -|[terryum/awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers)|19.5k|The most cited deep learning papers| -|[apache/incubator-mxnet](https://github.com/apache/incubator-mxnet)|17.5k|Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;…| -|[google-research/bert](https://github.com/google-research/bert)|17.3k|TensorFlow code and pre-trained models for BERT| -|[microsoft/CNTK](https://github.com/microsoft/CNTK)|16.3k|Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit| -|[donnemartin/data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks)|16.2k|Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spar…| -|[ageron/handson-ml](https://github.com/ageron/handson-ml)|16.2k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …| -|[fastai/fastai](https://github.com/fastai/fastai)|15k|The fastai deep learning library, plus lessons and tutorials| -|[jtoy/awesome-tensorflow](https://github.com/jtoy/awesome-tensorflow)|14.8k|TensorFlow - A curated list of dedicated resources http://tensorflow.org| -|[matterport/Mask_RCNN](https://github.com/matterport/Mask_RCNN)|13.4k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow| -|[ChristosChristofidis/awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)|13.3k|A curated list of awesome Deep Learning tutorials, projects and communities.| -|[MLEveryday/100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|12.9k|100-Days-Of-ML-Code中文版| -|[machinelearningmindset/TensorFlow-Course](https://github.com/machinelearningmindset/TensorFlow-Course)|12.9k|Simple and ready-to-use tutorials for TensorFlow| -|[ty4z2008/Qix](https://github.com/ty4z2008/Qix)|12.8k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang| -|[trekhleb/homemade-machine-learning](https://github.com/trekhleb/homemade-machine-learning)|12.8k|🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained| -|[yunjey/pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|12.8k|PyTorch Tutorial for Deep Learning Researchers| -|[kailashahirwar/cheatsheets-ai](https://github.com/kailashahirwar/cheatsheets-ai)|12.5k|Essential Cheat Sheets for deep learning and machine learning researchers| -|[apache/predictionio](https://github.com/apache/predictionio)|12k|PredictionIO, a machine learning server for developers and ML engineers.| -|[eriklindernoren/ML-From-Scratch](https://github.com/eriklindernoren/ML-From-Scratch)|11.8k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| -|[virgili0/Virgilio](https://github.com/virgili0/Virgilio)|11.5k|Your new Mentor for Data Science E-Learning.| -|[dennybritz/reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|11.5k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| -|[fighting41love/funNLP](https://github.com/fighting41love/funNLP)|11.4k|新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增…| -|[jikexueyuanwiki/tensorflow-zh](https://github.com/jikexueyuanwiki/tensorflow-zh)|11.1k|谷歌全新开源人工智能系统TensorFlow官方文档中文版| -|[eclipse/deeplearning4j](https://github.com/eclipse/deeplearning4j)|11k|Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark| -|[mozilla/DeepSpeech](https://github.com/mozilla/DeepSpeech)|10.9k|A TensorFlow implementation of Baidu's DeepSpeech architecture| -|[huggingface/pytorch-transformers](https://github.com/huggingface/pytorch-transformers)|10.6k|👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)| -|[rasbt/python-machine-learning-book](https://github.com/rasbt/python-machine-learning-book)|10.1k|The "Python Machine Learning (1st edition)" book code repository and info resource| -|[mnielsen/neural-networks-and-deep-learning](https://github.com/mnielsen/neural-networks-and-deep-learning)|9.8k|Code samples for my book "Neural Networks and Deep Learning"| -|[karpathy/convnetjs](https://github.com/karpathy/convnetjs)|9.8k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.| -|[NVIDIA/FastPhotoStyle](https://github.com/NVIDIA/FastPhotoStyle)|9.8k|Style transfer, deep learning, feature transform| -|[pytorch/examples](https://github.com/pytorch/examples)|9.7k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.| -|[PaddlePaddle/Paddle](https://github.com/PaddlePaddle/Paddle)|9.6k|PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）| -|[hangtwenty/dive-into-machine-learning](https://github.com/hangtwenty/dive-into-machine-learning)|9.5k|Dive into Machine Learning with Python Jupyter notebook and scikit-learn!| -|[alexjc/neural-enhance](https://github.com/alexjc/neural-enhance)|9.4k|Super Resolution for images using deep learning.| -|[ujjwalkarn/Machine-Learning-Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials)|9.3k|machine learning and deep learning tutorials, articles and other resources| -|[microsoft/LightGBM](https://github.com/microsoft/LightGBM)|9.3k|A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tr…| -|[tflearn/tflearn](https://github.com/tflearn/tflearn)|9.2k|Deep learning library featuring a higher-level API for TensorFlow.| -|[junyanz/pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)|9.2k|Image-to-Image Translation in PyTorch| -|[nndl/nndl.github.io](https://github.com/nndl/nndl.github.io)|9.1k|《神经网络与深度学习》 Neural Network and Deep Learning| -|[rasbt/deeplearning-models](https://github.com/rasbt/deeplearning-models)|9k|A collection of various deep learning architectures, models, and tips| -|[afshinea/stanford-cs-229-machine-learning](https://github.com/afshinea/stanford-cs-229-machine-learning)|8.9k|VIP cheatsheets for Stanford's CS 229 Machine Learning| -|[apple/turicreate](https://github.com/apple/turicreate)|8.9k|Turi Create simplifies the development of custom machine learning models.| -|[chiphuyen/stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials)|8.8k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| -|[davidsandberg/facenet](https://github.com/davidsandberg/facenet)|8.8k|Face recognition using Tensorflow| -|[RedditSota/state-of-the-art-result-for-machine-learning-problems](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems)|8.7k|This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep th…| -|[gunthercox/ChatterBot](https://github.com/gunthercox/ChatterBot)|8.7k|ChatterBot is a machine learning, conversational dialog engine for creating chat bots| -|[tensorflow/tensor2tensor](https://github.com/tensorflow/tensor2tensor)|8.5k|Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.| -|[facebookarchive/caffe2](https://github.com/facebookarchive/caffe2)|8.5k|Caffe2 is a lightweight, modular, and scalable deep learning framework.| -|[vahidk/EffectiveTensorflow](https://github.com/vahidk/EffectiveTensorflow)|8.4k|TensorFlow 1.x and 2.x tutorials and best practices.| -|[kjw0612/awesome-deep-vision](https://github.com/kjw0612/awesome-deep-vision)|8.4k|A curated list of deep learning resources for computer vision| -|[deeppomf/DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|8.3k|Decensoring Hentai with Deep Neural Networks| -|[lengstrom/fast-style-transfer](https://github.com/lengstrom/fast-style-transfer)|8.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| -|[google/dopamine](https://github.com/google/dopamine)|8.2k|Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.| -|[deepmind/sonnet](https://github.com/deepmind/sonnet)|7.8k|TensorFlow-based neural network library| -|[davisking/dlib](https://github.com/davisking/dlib)|7.7k|A toolkit for making real world machine learning and data analysis applications in C++| -|[fchollet/deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)|7.7k|Jupyter notebooks for the code samples of the book "Deep Learning with Python"| -|[bharathgs/Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)|7.6k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…| -|[rushter/MLAlgorithms](https://github.com/rushter/MLAlgorithms)|7.6k|Minimal and clean examples of machine learning algorithms implementations| -|[NVlabs/stylegan](https://github.com/NVlabs/stylegan)|7.5k|StyleGAN - Official TensorFlow Implementation| -|[Hvass-Labs/TensorFlow-Tutorials](https://github.com/Hvass-Labs/TensorFlow-Tutorials)|7.5k|TensorFlow Tutorials with YouTube Videos| -|[jantic/DeOldify](https://github.com/jantic/DeOldify)|7.4k|A Deep Learning based project for colorizing and restoring old images (and video!)| -|[kubeflow/kubeflow](https://github.com/kubeflow/kubeflow)|7.3k|Machine Learning Toolkit for Kubernetes| -|[php-ai/php-ml](https://github.com/php-ai/php-ml)|7.3k|PHP-ML - Machine Learning library for PHP| -|[horovod/horovod](https://github.com/horovod/horovod)|7.2k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| -|[clips/pattern](https://github.com/clips/pattern)|7.1k|Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysi…| -|[vdumoulin/conv_arithmetic](https://github.com/vdumoulin/conv_arithmetic)|7.1k|A technical report on convolution arithmetic in the context of deep learning| -|[zalandoresearch/flair](https://github.com/zalandoresearch/flair)|6.9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)| -|[allenai/allennlp](https://github.com/allenai/allennlp)|6.8k|An open-source NLP research library, built on PyTorch.| -|[llSourcell/Learn_Machine_Learning_in_3_Months](https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months)|6.7k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube| -|[sjwhitworth/golearn](https://github.com/sjwhitworth/golearn)|6.7k|Machine Learning for Go| -|[aleju/imgaug](https://github.com/aleju/imgaug)|6.7k|Image augmentation for machine learning experiments.| -|[NVIDIA/vid2vid](https://github.com/NVIDIA/vid2vid)|6.7k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| -|[justadudewhohacks/face-api.js](https://github.com/justadudewhohacks/face-api.js)|6.6k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js| -|[MorvanZhou/tutorials](https://github.com/MorvanZhou/tutorials)|6.6k|机器学习相关教程| -|[zergtant/pytorch-handbook](https://github.com/zergtant/pytorch-handbook)|6.6k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行| -|[onnx/onnx](https://github.com/onnx/onnx)|6.6k|Open Neural Network Exchange| -|[janishar/mit-deep-learning-book-pdf](https://github.com/janishar/mit-deep-learning-book-pdf)|6.5k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| -|[VowpalWabbit/vowpal_wabbit](https://github.com/VowpalWabbit/vowpal_wabbit)|6.5k|Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as onli…| -|[Unity-Technologies/ml-agents](https://github.com/Unity-Technologies/ml-agents)|6.5k|Unity Machine Learning Agents Toolkit| -|[dotnet/machinelearning](https://github.com/dotnet/machinelearning)|6.3k|ML.NET is an open source and cross-platform machine learning framework for .NET.| -|[marcotcr/lime](https://github.com/marcotcr/lime)|6.3k|Lime: Explaining the predictions of any machine learning classifier| -|[ddbourgin/numpy-ml](https://github.com/ddbourgin/numpy-ml)|6.3k|Machine learning, in numpy| -|[facebookresearch/maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark)|6.2k|Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.| -|[EpistasisLab/tpot](https://github.com/EpistasisLab/tpot)|6.1k|A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.| -|[RasaHQ/rasa](https://github.com/RasaHQ/rasa)|6.1k|💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, c…| -|[slundberg/shap](https://github.com/slundberg/shap)|6.1k|A unified approach to explain the output of any machine learning model.| -|[carpedm20/DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow)|6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"| -|[kmario23/deep-learning-drizzle](https://github.com/kmario23/deep-learning-drizzle)|5.8k|Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from…| -|[keras-team/autokeras](https://github.com/keras-team/autokeras)|5.8k|Accessible AutoML for deep learning.| -|[nlintz/TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.8k|Simple tutorials using Google's TensorFlow Framework| -|[machinelearningmindset/machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|5.8k|💬 Machine Learning Course with Python. Refer to the course page for step-by-step explanations.| -|[hoya012/deep_learning_object_detection](https://github.com/hoya012/deep_learning_object_detection)|5.7k|A paper list of object detection using deep learning.| -|[lutzroeder/netron](https://github.com/lutzroeder/netron)|5.7k|Visualizer for neural network, deep learning and machine learning models| -|[open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection)|5.6k|Open MMLab Detection Toolbox and Benchmark| -|[Swift-AI/Swift-AI](https://github.com/Swift-AI/Swift-AI)|5.6k|The Swift machine learning library.| -|[lexfridman/mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)|5.6k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| -|[PAIR-code/facets](https://github.com/PAIR-code/facets)|5.6k|Visualizations for machine learning datasets| -|[uber/ludwig](https://github.com/uber/ludwig)|5.5k|Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to…| -|[iperov/DeepFaceLab](https://github.com/iperov/DeepFaceLab)|5.5k|DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work stan…| -|[pyro-ppl/pyro](https://github.com/pyro-ppl/pyro)|5.5k|Deep universal probabilistic programming with Python and PyTorch| -|[guess-js/guess](https://github.com/guess-js/guess)|5.4k|Libraries & tools for enabling Machine Learning driven user-experiences on the web| -|[lanpa/tensorboardX](https://github.com/lanpa/tensorboardX)|5.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| -|[fchollet/deep-learning-models](https://github.com/fchollet/deep-learning-models)|5.4k|Keras code and weights files for popular deep learning models.| -|[tensorlayer/tensorlayer](https://github.com/tensorlayer/tensorlayer)|5.4k|Deep Learning and Reinforcement Learning Library for Scientists| -|[chenyuntc/pytorch-book](https://github.com/chenyuntc/pytorch-book)|5.4k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation| -|[wiseodd/generative-models](https://github.com/wiseodd/generative-models)|5.3k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| -|[pkmital/tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)|5.3k|From the basics to slightly more interesting applications of Tensorflow| -|[yenchenlin/DeepLearningFlappyBird](https://github.com/yenchenlin/DeepLearningFlappyBird)|5.3k|Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).| -|[bulletphysics/bullet3](https://github.com/bulletphysics/bullet3)|5.3k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| -|[facebookresearch/pytext](https://github.com/facebookresearch/pytext)|5.3k|A natural language modeling framework based on PyTorch| -|[nfmcclure/tensorflow_cookbook](https://github.com/nfmcclure/tensorflow_cookbook)|5.1k|Code for Tensorflow Machine Learning Cookbook| -|[DmitryUlyanov/deep-image-prior](https://github.com/DmitryUlyanov/deep-image-prior)|5k|Image restoration with neural networks but without learning.| -|[david-gpu/srez](https://github.com/david-gpu/srez)|5k|Image super-resolution through deep learning| -|[ufoym/deepo](https://github.com/ufoym/deepo)|5k|Set up deep learning environment in a single command line.| -|[brightmart/text_classification](https://github.com/brightmart/text_classification)|5k|all kinds of text classification models and more with deep learning| -|[chainer/chainer](https://github.com/chainer/chainer)|5k|A flexible framework of neural networks for deep learning| -|[thtrieu/darkflow](https://github.com/thtrieu/darkflow)|5k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def …| -|[pytorch/fairseq](https://github.com/pytorch/fairseq)|4.9k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| -|[hanxiao/bert-as-service](https://github.com/hanxiao/bert-as-service)|4.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model| -|[dennybritz/cnn-text-classification-tf](https://github.com/dennybritz/cnn-text-classification-tf)|4.9k|Convolutional Neural Network for Text Classification in Tensorflow| -|[google/seq2seq](https://github.com/google/seq2seq)|4.9k|A general-purpose encoder-decoder framework for Tensorflow| -|[Cadene/pretrained-models.pytorch](https://github.com/Cadene/pretrained-models.pytorch)|4.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.| -|[rusty1s/pytorch_geometric](https://github.com/rusty1s/pytorch_geometric)|4.8k|Geometric Deep Learning Extension Library for PyTorch| -|[humphd/have-fun-with-machine-learning](https://github.com/humphd/have-fun-with-machine-learning)|4.8k|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks| -|[vipstone/faceai](https://github.com/vipstone/faceai)|4.8k|一款入门级的人脸、视频、文字检测以及识别的项目.| -|[tensorflow/nmt](https://github.com/tensorflow/nmt)|4.8k|TensorFlow Neural Machine Translation Tutorial| -|[anishathalye/neural-style](https://github.com/anishathalye/neural-style)|4.8k|Neural style in TensorFlow! 🎨| -|[tensorpack/tensorpack](https://github.com/tensorpack/tensorpack)|4.7k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility| -|[transcranial/keras-js](https://github.com/transcranial/keras-js)|4.6k|Run Keras models in the browser, with GPU support using WebGL| -|[airbnb/aerosolve](https://github.com/airbnb/aerosolve)|4.6k|A machine learning package built for humans.| -|[rasbt/python-machine-learning-book-2nd-edition](https://github.com/rasbt/python-machine-learning-book-2nd-edition)|4.5k|The "Python Machine Learning (2nd edition)" book code repository and info resource| -|[tensorflow/swift](https://github.com/tensorflow/swift)|4.5k|Swift for TensorFlow Project Home Page| -|[astorfi/TensorFlow-World](https://github.com/astorfi/TensorFlow-World)|4.4k|🌎 Simple and ready-to-use tutorials for TensorFlow| -|[BinRoot/TensorFlow-Book](https://github.com/BinRoot/TensorFlow-Book)|4.3k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.| -|[zihangdai/xlnet](https://github.com/zihangdai/xlnet)|4.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| -|[blei-lab/edward](https://github.com/blei-lab/edward)|4.3k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| -|[Alluxio/alluxio](https://github.com/Alluxio/alluxio)|4.3k|Alluxio, data orchestration for analytics and machine learning in the cloud| -|[yunjey/stargan](https://github.com/yunjey/stargan)|4k|Official PyTorch Implementation of StarGAN - CVPR 2018| -|[keras-rl/keras-rl](https://github.com/keras-rl/keras-rl)|4k|Deep Reinforcement Learning for Keras.| -|[tensorspace-team/tensorspace](https://github.com/tensorspace-team/tensorspace)|3.9k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained dee…| -|[microsoft/MMdnn](https://github.com/microsoft/MMdnn)|3.9k|MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion a…| -|[ashnkumar/sketch-code](https://github.com/ashnkumar/sketch-code)|3.9k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| -|[jwyang/faster-rcnn.pytorch](https://github.com/jwyang/faster-rcnn.pytorch)|3.9k|A faster pytorch implementation of faster r-cnn| -|[eriklindernoren/PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|3.8k|PyTorch implementations of Generative Adversarial Networks.| -|[graykode/nlp-tutorial](https://github.com/graykode/nlp-tutorial)|3.8k|Natural Language Processing Tutorial for Deep Learning Researchers| -|[NVIDIA/pix2pixHD](https://github.com/NVIDIA/pix2pixHD)|3.8k|Synthesizing and manipulating 2048x1024 images with conditional GANs| -|[photoprism/photoprism](https://github.com/photoprism/photoprism)|3.8k|Personal Photo Management powered by Go and Google TensorFlow| -|[ritchieng/the-incredible-pytorch](https://github.com/ritchieng/the-incredible-pytorch)|3.8k|The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.| -|[PipelineAI/pipeline](https://github.com/PipelineAI/pipeline)|3.7k|PipelineAI: Real-Time Enterprise AI Platform| -|[tensorflow/serving](https://github.com/tensorflow/serving)|3.7k|A flexible, high-performance serving system for machine learning models| -|[OpenMined/PySyft](https://github.com/OpenMined/PySyft)|3.7k|A library for encrypted, privacy preserving deep learning| -|[hunkim/DeepLearningZeroToAll](https://github.com/hunkim/DeepLearningZeroToAll)|3.6k|TensorFlow Basic Tutorial Labs| -|[deepmind/graph_nets](https://github.com/deepmind/graph_nets)|3.6k|Build Graph Nets in Tensorflow| -|[spro/practical-pytorch](https://github.com/spro/practical-pytorch)|3.5k|PyTorch tutorials demonstrating modern techniques with readable code| -|[naturomics/CapsNet-Tensorflow](https://github.com/naturomics/CapsNet-Tensorflow)|3.5k|A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules| -|[xitu/tensorflow-docs](https://github.com/xitu/tensorflow-docs)|3.5k|TensorFlow 最新官方文档中文版| -|[MorvanZhou/PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|3.5k|Build your neural network easy and fast| -|[deepmipt/DeepPavlov](https://github.com/deepmipt/DeepPavlov)|3.3k|An open source library for deep learning end-to-end dialog systems and chatbots.| -|[MorvanZhou/Tensorflow-Tutorial](https://github.com/MorvanZhou/Tensorflow-Tutorial)|3.3k|Tensorflow tutorial from basic to hard| -|[balancap/SSD-Tensorflow](https://github.com/balancap/SSD-Tensorflow)|3.3k|Single Shot MultiBox Detector in TensorFlow| -|[yandexdataschool/Practical_RL](https://github.com/yandexdataschool/Practical_RL)|3.3k|A course in reinforcement learning in the wild| -|[hwalsuklee/tensorflow-generative-model-collections](https://github.com/hwalsuklee/tensorflow-generative-model-collections)|3.3k|Collection of generative models in Tensorflow| -|[OpenNMT/OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py)|3.3k|Open Source Neural Machine Translation in PyTorch| -|[yahoo/TensorFlowOnSpark](https://github.com/yahoo/TensorFlowOnSpark)|3.2k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| -|[apachecn/hands-on-ml-zh](https://github.com/apachecn/hands-on-ml-zh)|3.1k|📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】| -|[cchen156/Learning-to-See-in-the-Dark](https://github.com/cchen156/Learning-to-See-in-the-Dark)|3.1k|Learning to See in the Dark. CVPR 2018| -|[1adrianb/face-alignment](https://github.com/1adrianb/face-alignment)|3k|🔥 2D and 3D Face alignment library build using pytorch| -|[jcjohnson/pytorch-examples](https://github.com/jcjohnson/pytorch-examples)|3k|Simple examples to introduce PyTorch| -|[jadore801120/attention-is-all-you-need-pytorch](https://github.com/jadore801120/attention-is-all-you-need-pytorch)|3k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| -|[MVIG-SJTU/AlphaPose](https://github.com/MVIG-SJTU/AlphaPose)|3k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| -|[CorentinJ/Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|3k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| -|[MrGemy95/Tensorflow-Project-Template](https://github.com/MrGemy95/Tensorflow-Project-Template)|3k|A best practice for tensorflow project template architecture.| -|[endernewton/tf-faster-rcnn](https://github.com/endernewton/tf-faster-rcnn)|2.9k|Tensorflow Faster RCNN for Object Detection| -|[vespa-engine/vespa](https://github.com/vespa-engine/vespa)|2.9k|Vespa is an engine for low-latency computation over large data sets.| -|[minimaxir/textgenrnn](https://github.com/minimaxir/textgenrnn)|2.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| -|[CharlesShang/FastMaskRCNN](https://github.com/CharlesShang/FastMaskRCNN)|2.9k|Mask RCNN in TensorFlow| -|[tensorflow/lucid](https://github.com/tensorflow/lucid)|2.8k|A collection of infrastructure and tools for research in neural network interpretability.| -|[NirantK/awesome-project-ideas](https://github.com/NirantK/awesome-project-ideas)|2.8k|Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas| -|[easy-tensorflow/easy-tensorflow](https://github.com/easy-tensorflow/easy-tensorflow)|2.8k|Simple and comprehensive tutorials in TensorFlow| -|[tensorflow/adanet](https://github.com/tensorflow/adanet)|2.8k|Fast and flexible AutoML with learning guarantees.| -|[handong1587/handong1587.github.io](https://github.com/handong1587/handong1587.github.io)|2.7k|| -|[jinfagang/tensorflow_poems](https://github.com/jinfagang/tensorflow_poems)|2.7k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！| -|[codertimo/BERT-pytorch](https://github.com/codertimo/BERT-pytorch)|2.7k|Google AI 2018 BERT pytorch implementation| -|[mbadry1/DeepLearning.ai-Summary](https://github.com/mbadry1/DeepLearning.ai-Summary)|2.7k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…| -|[AKSHAYUBHAT/DeepVideoAnalytics](https://github.com/AKSHAYUBHAT/DeepVideoAnalytics)|2.7k|A distributed visual search and visual data analytics platform.| -|[taki0112/Tensorflow-Cookbook](https://github.com/taki0112/Tensorflow-Cookbook)|2.7k|Simple Tensorflow Cookbook for easy-to-use| -|[hunkim/PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll)|2.7k|Simple PyTorch Tutorials Zero to ALL!| -|[andri27-ts/60_Days_RL_Challenge](https://github.com/andri27-ts/60_Days_RL_Challenge)|2.7k|Learn Deep Reinforcement Learning in Depth in 60 days| -|[yusugomori/DeepLearning](https://github.com/yusugomori/DeepLearning)|2.7k|Deep Learning (Python, C, C++, Java, Scala, Go)| -|[migueldeicaza/TensorFlowSharp](https://github.com/migueldeicaza/TensorFlowSharp)|2.7k|TensorFlow API for .NET languages| -|[gorgonia/gorgonia](https://github.com/gorgonia/gorgonia)|2.7k|Gorgonia is a library that helps facilitate machine learning in Go.| -|[facebookresearch/pythia](https://github.com/facebookresearch/pythia)|2.7k|A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)| -|[NTMC-Community/MatchZoo](https://github.com/NTMC-Community/MatchZoo)|2.6k|Facilitating the design, comparison and sharing of deep text matching models.| -|[amdegroot/ssd.pytorch](https://github.com/amdegroot/ssd.pytorch)|2.6k|A PyTorch Implementation of Single Shot MultiBox Detector| -|[dmlc/dgl](https://github.com/dmlc/dgl)|2.6k|Python package built to ease deep learning on graph, on top of existing DL frameworks.| -|[pandas-profiling/pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)|2.6k|Create HTML profiling reports from pandas DataFrame objects| -|[leriomaggio/deep-learning-keras-tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow)|2.6k|Introduction to Deep Neural Networks with Keras and Tensorflow| -|[rasbt/deep-learning-book](https://github.com/rasbt/deep-learning-book)|2.6k|Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …| -|[amusi/daily-paper-computer-vision](https://github.com/amusi/daily-paper-computer-vision)|2.5k|记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文| -|[ildoonet/tf-pose-estimation](https://github.com/ildoonet/tf-pose-estimation)|2.5k|Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.| -|[jostmey/NakedTensor](https://github.com/jostmey/NakedTensor)|2.5k|Bare bone examples of machine learning in TensorFlow| -|[hybridgroup/gocv](https://github.com/hybridgroup/gocv)|2.5k|Go package for computer vision using OpenCV 4 and beyond.| -|[zzw922cn/Automatic_Speech_Recognition](https://github.com/zzw922cn/Automatic_Speech_Recognition)|2.5k|End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow| -|[Conchylicultor/DeepQA](https://github.com/Conchylicultor/DeepQA)|2.5k|My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot| -|[makegirlsmoe/makegirlsmoe_web](https://github.com/makegirlsmoe/makegirlsmoe_web)|2.5k|Create Anime Characters with MakeGirlsMoe| -|[deeplearning-ai/machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)|2.4k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| -|[gaussic/text-classification-cnn-rnn](https://github.com/gaussic/text-classification-cnn-rnn)|2.4k|CNN-RNN中文文本分类，基于TensorFlow| -|[allmachinelearning/MachineLearning](https://github.com/allmachinelearning/MachineLearning)|2.4k|Machine learning resources| -|[tensorforce/tensorforce](https://github.com/tensorforce/tensorforce)|2.4k|Tensorforce: a TensorFlow library for applied reinforcement learning| -|[zeusees/HyperLPR](https://github.com/zeusees/HyperLPR)|2.4k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| -|[Tencent/tencent-ml-images](https://github.com/Tencent/tencent-ml-images)|2.4k|Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet| -|[jisungk/deepjazz](https://github.com/jisungk/deepjazz)|2.4k|Deep learning driven jazz generation using Keras & Theano!| -|[foolwood/benchmark_results](https://github.com/foolwood/benchmark_results)|2.4k|Visual Tracking Paper List| -|[guillaume-chevalier/LSTM-Human-Activity-Recognition](https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition)|2.3k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo…| -|[cysmith/neural-style-tf](https://github.com/cysmith/neural-style-tf)|2.3k|TensorFlow (Python API) implementation of Neural Style| -|[microsoft/tensorwatch](https://github.com/microsoft/tensorwatch)|2.3k|Debugging, monitoring and visualization for Python Machine Learning and Data Science| -|[stanfordnlp/stanfordnlp](https://github.com/stanfordnlp/stanfordnlp)|2.3k|Official Stanford NLP Python Library for Many Human Languages| -|[PaddlePaddle/VisualDL](https://github.com/PaddlePaddle/VisualDL)|2.3k|A platform to visualize the deep learning process and result.| -|[d2l-ai/d2l-en](https://github.com/d2l-ai/d2l-en)|2.3k|Dive into Deep Learning: an interactive deep learning book with code, math, and discussions| -|[raghakot/keras-vis](https://github.com/raghakot/keras-vis)|2.3k|Neural network visualization toolkit for keras| -|[yzhao062/pyod](https://github.com/yzhao062/pyod)|2.3k|A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)| -|[NELSONZHAO/zhihu](https://github.com/NELSONZHAO/zhihu)|2.3k|This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Pyt…| -|[eragonruan/text-detection-ctpn](https://github.com/eragonruan/text-detection-ctpn)|2.3k|text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network| -|[cloud-annotations/training](https://github.com/cloud-annotations/training)|2.3k|🐝 Custom Object Detection and Classification Training| -|[gluon-api/gluon-api](https://github.com/gluon-api/gluon-api)|2.3k|A clear, concise, simple yet powerful and efficient API for deep learning.| -|[CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial](https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial)|2.3k|A TensorFlow & Deep Learning online course I taught in 2016| -|[opencv/cvat](https://github.com/opencv/cvat)|2.3k|Powerful and efficient Computer Vision Annotation Tool (CVAT)| -|[tensorflow/probability](https://github.com/tensorflow/probability)|2.3k|Probabilistic reasoning and statistical analysis in TensorFlow| -|[rlcode/reinforcement-learning](https://github.com/rlcode/reinforcement-learning)|2.3k|Minimal and Clean Reinforcement Learning Examples| -|[ysh329/deep-learning-model-convertor](https://github.com/ysh329/deep-learning-model-convertor)|2.2k|The convertor/conversion of deep learning models for different deep learning frameworks/softwares.| -|[horance-liu/tensorflow-internals](https://github.com/horance-liu/tensorflow-internals)|2.2k|It is open source ebook about TensorFlow kernel and implementation mechanism.| -|[quark0/darts](https://github.com/quark0/darts)|2.2k|Differentiable architecture search for convolutional and recurrent networks| -|[tryolabs/luminoth](https://github.com/tryolabs/luminoth)|2.2k|Deep Learning toolkit for Computer Vision| -|[OpenNMT/OpenNMT](https://github.com/OpenNMT/OpenNMT)|2.2k|Open Source Neural Machine Translation in Torch| -|[Tencent/PocketFlow](https://github.com/Tencent/PocketFlow)|2.2k|An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.| -|[udacity/deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch)|2.1k|Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegre…| -|[DSKSD/DeepNLP-models-Pytorch](https://github.com/DSKSD/DeepNLP-models-Pytorch)|2.1k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)| -|[dusty-nv/jetson-inference](https://github.com/dusty-nv/jetson-inference)|2.1k|Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.| -|[richzhang/colorization](https://github.com/richzhang/colorization)|2.1k|Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.| -|[meetshah1995/pytorch-semseg](https://github.com/meetshah1995/pytorch-semseg)|2.1k|Semantic Segmentation Architectures Implemented in PyTorch| -|[charlesq34/pointnet](https://github.com/charlesq34/pointnet)|2.1k|PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation| -|[polyaxon/polyaxon](https://github.com/polyaxon/polyaxon)|2.1k|A platform for reproducible and scalable machine learning and deep learning on kubernetes| -|[smallcorgi/Faster-RCNN_TF](https://github.com/smallcorgi/Faster-RCNN_TF)|2.1k|Faster-RCNN in Tensorflow| -|[goq/telegram-list](https://github.com/goq/telegram-list)|2k|List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для пр…| -|[cleardusk/3DDFA](https://github.com/cleardusk/3DDFA)|2k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| -|[junyanz/interactive-deep-colorization](https://github.com/junyanz/interactive-deep-colorization)|2k|Deep learning software for colorizing black and white images with a few clicks.| -|[samjabrahams/tensorflow-on-raspberry-pi](https://github.com/samjabrahams/tensorflow-on-raspberry-pi)|2k|TensorFlow for Raspberry Pi| -|[NervanaSystems/nlp-architect](https://github.com/NervanaSystems/nlp-architect)|2k|NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techn…| -|[pytorch/ignite](https://github.com/pytorch/ignite)|2k|High-level library to help with training neural networks in PyTorch| -|[ultralytics/yolov3](https://github.com/ultralytics/yolov3)|2k|YOLOv3 in PyTorch > ONNX > CoreML > iOS| -|[endymecy/awesome-deeplearning-resources](https://github.com/endymecy/awesome-deeplearning-resources)|2k|Deep Learning and deep reinforcement learning research papers and some codes| -|[koth/kcws](https://github.com/koth/kcws)|2k|Deep Learning Chinese Word Segment| -|[argman/EAST](https://github.com/argman/EAST)|1.9k|A tensorflow implementation of EAST text detector| -|[ajbrock/Neural-Photo-Editor](https://github.com/ajbrock/Neural-Photo-Editor)|1.9k|A simple interface for editing natural photos with generative neural networks.| -|[paarthneekhara/text-to-image](https://github.com/paarthneekhara/text-to-image)|1.9k|Text to image synthesis using thought vectors| -|[facebookresearch/ELF](https://github.com/facebookresearch/ELF)|1.9k|An End-To-End, Lightweight and Flexible Platform for Game Research| -|[tensorflow/rust](https://github.com/tensorflow/rust)|1.9k|Rust language bindings for TensorFlow| -|[awjuliani/DeepRL-Agents](https://github.com/awjuliani/DeepRL-Agents)|1.9k|A set of Deep Reinforcement Learning Agents implemented in Tensorflow.| -|[lakshayg/tensorflow-build](https://github.com/lakshayg/tensorflow-build)|1.9k|TensorFlow binaries supporting AVX, FMA, SSE| -|[aleju/papers](https://github.com/aleju/papers)|1.9k|Summaries of machine learning papers| -|[golbin/TensorFlow-Tutorials](https://github.com/golbin/TensorFlow-Tutorials)|1.9k|텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다| -|[jolibrain/deepdetect](https://github.com/jolibrain/deepdetect)|1.9k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE| -|[fo40225/tensorflow-windows-wheel](https://github.com/fo40225/tensorflow-windows-wheel)|1.9k|Tensorflow prebuilt binary for Windows| -|[robi56/Deep-Learning-for-Recommendation-Systems](https://github.com/robi56/Deep-Learning-for-Recommendation-Systems)|1.9k|This repository contains Deep Learning based articles , paper and repositories for Recommender Systems| -|[tensorlayer/srgan](https://github.com/tensorlayer/srgan)|1.9k|Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network| -|[pannous/tensorflow-speech-recognition](https://github.com/pannous/tensorflow-speech-recognition)|1.9k|🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks| -|[salesforce/decaNLP](https://github.com/salesforce/decaNLP)|1.9k|The Natural Language Decathlon: A Multitask Challenge for NLP| -|[TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials)|1.9k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| -|[google/tangent](https://github.com/google/tangent)|1.9k|Source-to-Source Debuggable Derivatives in Pure Python| -|[shenweichen/DeepCTR](https://github.com/shenweichen/DeepCTR)|1.8k|Easy-to-use,Modular and Extendible package of deep-learning based CTR models.| -|[tensorflow/docs](https://github.com/tensorflow/docs)|1.8k|TensorFlow documentation| -|[pytorch/text](https://github.com/pytorch/text)|1.8k|Data loaders and abstractions for text and NLP| -|[astorfi/TensorFlow-Roadmap](https://github.com/astorfi/TensorFlow-Roadmap)|1.8k|📡 Organized & Useful Resources about Deep Learning with TensorFlow| -|[avinashpaliwal/Super-SloMo](https://github.com/avinashpaliwal/Super-SloMo)|1.8k|PyTorch implementation of Super SloMo by Jiang et al.| -|[simoninithomas/Deep_reinforcement_learning_Course](https://github.com/simoninithomas/Deep_reinforcement_learning_Course)|1.8k|Implementations from the free course Deep Reinforcement Learning with Tensorflow| -|[maciejkula/spotlight](https://github.com/maciejkula/spotlight)|1.8k|Deep recommender models using PyTorch.| -|[foolwood/SiamMask](https://github.com/foolwood/SiamMask)|1.8k|[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach| -|[wb14123/seq2seq-couplet](https://github.com/wb14123/seq2seq-couplet)|1.8k|Play couplet with seq2seq model. 用深度学习对对联。| -|[dmlc/gluon-nlp](https://github.com/dmlc/gluon-nlp)|1.7k|NLP made easy| -|[philipperemy/keras-attention-mechanism](https://github.com/philipperemy/keras-attention-mechanism)|1.7k|Attention mechanism Implementation for Keras.| -|[EthicalML/awesome-production-machine-learning](https://github.com/EthicalML/awesome-production-machine-learning)|1.7k|A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning| -|[wzhe06/Ad-papers](https://github.com/wzhe06/Ad-papers)|1.7k|Papers on Computational Advertising| -|[szilard/benchm-ml](https://github.com/szilard/benchm-ml)|1.7k|A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…| -|[tensorflow/lingvo](https://github.com/tensorflow/lingvo)|1.7k|Lingvo| -|[google/deepvariant](https://github.com/google/deepvariant)|1.7k|DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA…| -|[bytedance/byteps](https://github.com/bytedance/byteps)|1.7k|A high performance and general PS framework for distributed training| -|[tensorflow/hub](https://github.com/tensorflow/hub)|1.7k|A library for transfer learning by reusing parts of TensorFlow models.| -|[deepchem/deepchem](https://github.com/deepchem/deepchem)|1.7k|Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology| -|[thu-ml/zhusuan](https://github.com/thu-ml/zhusuan)|1.7k|A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow| -|[xmartlabs/Bender](https://github.com/xmartlabs/Bender)|1.7k|Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.| -|[tobegit3hub/tensorflow_template_application](https://github.com/tobegit3hub/tensorflow_template_application)|1.7k|TensorFlow template application for deep learning| -|[MrNothing/AI-Blocks](https://github.com/MrNothing/AI-Blocks)|1.7k|A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!| -|[GauravBh1010tt/DeepLearn](https://github.com/GauravBh1010tt/DeepLearn)|1.7k|Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.| -|[nl8590687/ASRT_SpeechRecognition](https://github.com/nl8590687/ASRT_SpeechRecognition)|1.7k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统| -|[GeorgeSeif/Semantic-Segmentation-Suite](https://github.com/GeorgeSeif/Semantic-Segmentation-Suite)|1.7k|Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!| -|[abhshkdz/ai-deadlines](https://github.com/abhshkdz/ai-deadlines)|1.7k|⏰ AI conference deadline countdowns| -|[taolei87/sru](https://github.com/taolei87/sru)|1.7k|Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)| -|[Picovoice/Porcupine](https://github.com/Picovoice/Porcupine)|1.7k|On-device wake word detection powered by deep learning.| -|[junxiaosong/AlphaZero_Gomoku](https://github.com/junxiaosong/AlphaZero_Gomoku)|1.7k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| -|[NVlabs/MUNIT](https://github.com/NVlabs/MUNIT)|1.7k|Multimodal Unsupervised Image-to-Image Translation| -|[Azure/mmlspark](https://github.com/Azure/mmlspark)|1.6k|Microsoft Machine Learning for Apache Spark| -|[SummitKwan/transparent_latent_gan](https://github.com/SummitKwan/transparent_latent_gan)|1.6k|Use supervised learning to illuminate the latent space of GAN for controlled generation and edit| -|[floodsung/Meta-Learning-Papers](https://github.com/floodsung/Meta-Learning-Papers)|1.6k|Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning| -|[FluxML/Flux.jl](https://github.com/FluxML/Flux.jl)|1.6k|Relax! Flux is the ML library that doesn't make you tensor| -|[sachinruk/deepschool.io](https://github.com/sachinruk/deepschool.io)|1.6k|Deep Learning tutorials in jupyter notebooks.| -|[keithito/tacotron](https://github.com/keithito/tacotron)|1.6k|A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)| -|[leoxiaobin/deep-high-resolution-net.pytorch](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch)|1.6k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…| -|[microsoft/VoTT](https://github.com/microsoft/VoTT)|1.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.| -|[alibaba/euler](https://github.com/alibaba/euler)|1.6k|A distributed graph deep learning framework.| -|[NVIDIA/DALI](https://github.com/NVIDIA/DALI)|1.6k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…| -|[Honlan/DeepInterests](https://github.com/Honlan/DeepInterests)|1.6k|深度有趣| -|[dmlc/nnvm](https://github.com/dmlc/nnvm)|1.6k|move to https://github.com/dmlc/tvm/| -|[deepmind/dm_control](https://github.com/deepmind/dm_control)|1.6k|The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo ph…| -|[ikostrikov/pytorch-a2c-ppo-acktr-gail](https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail)|1.5k|PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region met…| -|[INTERMT/Awesome-PyTorch-Chinese](https://github.com/INTERMT/Awesome-PyTorch-Chinese)|1.5k|【干货】史上最全的PyTorch学习资源汇总| -|[carpedm20/deep-rl-tensorflow](https://github.com/carpedm20/deep-rl-tensorflow)|1.5k|TensorFlow implementation of Deep Reinforcement Learning papers| -|[intel/mkl-dnn](https://github.com/intel/mkl-dnn)|1.5k|Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)| -|[minimaxir/automl-gs](https://github.com/minimaxir/automl-gs)|1.5k|Provide an input CSV and a target field to predict, generate a model + code to run it.| -|[sksq96/pytorch-summary](https://github.com/sksq96/pytorch-summary)|1.5k|Model summary in PyTorch similar to `model.summary()` in Keras| -|[kenshohara/3D-ResNets-PyTorch](https://github.com/kenshohara/3D-ResNets-PyTorch)|1.5k|3D ResNets for Action Recognition (CVPR 2018)| -|[Zeta36/chess-alpha-zero](https://github.com/Zeta36/chess-alpha-zero)|1.5k|Chess reinforcement learning by AlphaGo Zero methods.| -|[experiencor/keras-yolo2](https://github.com/experiencor/keras-yolo2)|1.5k|Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon…| -|[asyml/texar](https://github.com/asyml/texar)|1.5k|Toolkit for Machine Learning and Text Generation, in TensorFlow| -|[Qihoo360/XLearning](https://github.com/Qihoo360/XLearning)|1.5k|AI on Hadoop| -|[rguthrie3/DeepLearningForNLPInPytorch](https://github.com/rguthrie3/DeepLearningForNLPInPytorch)|1.5k|An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.| -|[Kyubyong/tacotron](https://github.com/Kyubyong/tacotron)|1.5k|A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model| -|[tomlepaine/fast-wavenet](https://github.com/tomlepaine/fast-wavenet)|1.5k|Speedy Wavenet generation using dynamic programming ⚡️| -|[erhwenkuo/deep-learning-with-keras-notebooks](https://github.com/erhwenkuo/deep-learning-with-keras-notebooks)|1.5k|Jupyter notebooks for using & learning Keras| -|[guillaumegenthial/sequence_tagging](https://github.com/guillaumegenthial/sequence_tagging)|1.5k|Named Entity Recognition (LSTM + CRF) - Tensorflow| -|[williamFalcon/pytorch-lightning](https://github.com/williamFalcon/pytorch-lightning)|1.5k|Rapid research framework for PyTorch. The researcher's version of Keras| -|[ajbrock/BigGAN-PyTorch](https://github.com/ajbrock/BigGAN-PyTorch)|1.5k|The author's officially unofficial PyTorch BigGAN implementation.| -|[autorope/donkeycar](https://github.com/autorope/donkeycar)|1.5k|Open source hardware and software platform to build a small scale self driving car.| -|[keplr-io/quiver](https://github.com/keplr-io/quiver)|1.5k|Interactive convnet features visualization for Keras| -|[tensorflow/datasets](https://github.com/tensorflow/datasets)|1.5k|A collection of datasets ready to use with TensorFlow| -|[knazeri/edge-connect](https://github.com/knazeri/edge-connect)|1.4k|EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212| -|[suragnair/alpha-zero-general](https://github.com/suragnair/alpha-zero-general)|1.4k|A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4| -|[NervanaSystems/coach](https://github.com/NervanaSystems/coach)|1.4k|Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learnin…| -|[microsoft/AutonomousDrivingCookbook](https://github.com/microsoft/AutonomousDrivingCookbook)|1.4k|Scenarios, tutorials and demos for Autonomous Driving| -|[microsoft/human-pose-estimation.pytorch](https://github.com/microsoft/human-pose-estimation.pytorch)|1.4k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| -|[alexsosn/iOS_ML](https://github.com/alexsosn/iOS_ML)|1.4k|List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.| -|[ahangchen/GDLnotes](https://github.com/ahangchen/GDLnotes)|1.4k|Google Deep Learning Notes（TensorFlow教程）| -|[Roujack/mathAI](https://github.com/Roujack/mathAI)|1.4k|一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.| -|[bfortuner/ml-cheatsheet](https://github.com/bfortuner/ml-cheatsheet)|1.4k|Machine learning cheatsheet| -|[kaonashi-tyc/zi2zi](https://github.com/kaonashi-tyc/zi2zi)|1.4k|Learning Chinese Character style with conditional GAN| -|[amusi/AI-Job-Notes](https://github.com/amusi/AI-Job-Notes)|1.4k|AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）| -|[kevinhughes27/TensorKart](https://github.com/kevinhughes27/TensorKart)|1.4k|self-driving MarioKart with TensorFlow| -|[dragen1860/TensorFlow-2.x-Tutorials](https://github.com/dragen1860/TensorFlow-2.x-Tutorials)|1.4k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…| -|[SeldonIO/seldon-server](https://github.com/SeldonIO/seldon-server)|1.4k|Machine Learning Platform and Recommendation Engine built on Kubernetes| -|[deeplearningturkiye/turkce-yapay-zeka-kaynaklari](https://github.com/deeplearningturkiye/turkce-yapay-zeka-kaynaklari)|1.4k|Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.| -|[CSAILVision/gandissect](https://github.com/CSAILVision/gandissect)|1.4k|Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/| -|[ybayle/awesome-deep-learning-music](https://github.com/ybayle/awesome-deep-learning-music)|1.4k|List of articles related to deep learning applied to music| -|[tqchen/tinyflow](https://github.com/tqchen/tinyflow)|1.4k|Tutorial code on how to build your own Deep Learning System in 2k Lines| -|[Determined22/zh-NER-TF](https://github.com/Determined22/zh-NER-TF)|1.4k|A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)| -|[mingyuliutw/UNIT](https://github.com/mingyuliutw/UNIT)|1.4k|Unsupervised Image-to-Image Translation| -|[PetrochukM/PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP)|1.4k|Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)| -|[KupynOrest/DeblurGAN](https://github.com/KupynOrest/DeblurGAN)|1.4k|Image Deblurring using Generative Adversarial Networks| -|[Franck-Dernoncourt/NeuroNER](https://github.com/Franck-Dernoncourt/NeuroNER)|1.3k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.| -|[ncullen93/torchsample](https://github.com/ncullen93/torchsample)|1.3k|High-Level Training, Data Augmentation, and Utilities for Pytorch| -|[onnx/models](https://github.com/onnx/models)|1.3k|A collection of pre-trained, state-of-the-art models in the ONNX format| -|[pkmital/CADL](https://github.com/pkmital/CADL)|1.3k|Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow…| -|[philipperemy/tensorflow-1.4-billion-password-analysis](https://github.com/philipperemy/tensorflow-1.4-billion-password-analysis)|1.3k|Deep Learning model to analyze a large corpus of clear text passwords.| -|[YunYang1994/tensorflow-yolov3](https://github.com/YunYang1994/tensorflow-yolov3)|1.3k|🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset| -|[hanleyweng/CoreML-in-ARKit](https://github.com/hanleyweng/CoreML-in-ARKit)|1.3k|Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit…| -|[NVIDIA/DeepRecommender](https://github.com/NVIDIA/DeepRecommender)|1.3k|Deep learning for recommender systems| -|[RiweiChen/DeepFace](https://github.com/RiweiChen/DeepFace)|1.3k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have…| -|[DT42/BerryNet](https://github.com/DT42/BerryNet)|1.3k|Deep learning gateway on Raspberry Pi and other edge devices| -|[microsoft/pai](https://github.com/microsoft/pai)|1.2k|Resource scheduling and cluster management for AI| +|[tensorflow](https://github.com/tensorflow/tensorflow)|132k|An Open Source Machine Learning Framework for Everyone| +|[models](https://github.com/tensorflow/models)|56.3k|Models and examples built with TensorFlow| +|[keras](https://github.com/keras-team/keras)|43.4k|Deep Learning for humans| +|[awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning)|41.2k|A curated list of awesome Machine Learning frameworks, libraries and software.| +|[scikit-learn](https://github.com/scikit-learn/scikit-learn)|36.5k|scikit-learn: machine learning in Python| +|[TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|33.3k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| +|[DeepLearning-500-questions](https://github.com/scutan90/DeepLearning-500-questions)|32.4k|深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续.....…| +|[pytorch](https://github.com/pytorch/pytorch)|30.7k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| +|[caffe](https://github.com/BVLC/caffe)|28.8k|Caffe: a fast open framework for deep learning.| +|[deeplearningbook-chinese](https://github.com/exacity/deeplearningbook-chinese)|25.8k|Deep Learning Book Chinese Translation| +|[Algorithm_Interview_Notes-Chinese](https://github.com/imhuay/Algorithm_Interview_Notes-Chinese)|25.7k|2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记| +|[Deep-Learning-Papers-Reading-Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)|23.7k|Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!| +|[gold-miner](https://github.com/xitu/gold-miner)|23.3k|🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：| +|[machine-learning-for-software-engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers)|22.3k|A complete daily plan for studying to become a machine learning engineer.| +|[practicalAI](https://github.com/GokuMohandas/practicalAI)|19.5k|📚 A practical approach to machine learning.| +|[awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers)|19.5k|The most cited deep learning papers| +|[incubator-mxnet](https://github.com/apache/incubator-mxnet)|17.5k|Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;…| +|[bert](https://github.com/google-research/bert)|17.3k|TensorFlow code and pre-trained models for BERT| +|[CNTK](https://github.com/microsoft/CNTK)|16.3k|Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit| +|[data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks)|16.2k|Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spar…| +|[handson-ml](https://github.com/ageron/handson-ml)|16.2k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …| +|[fastai](https://github.com/fastai/fastai)|15k|The fastai deep learning library, plus lessons and tutorials| +|[awesome-tensorflow](https://github.com/jtoy/awesome-tensorflow)|14.8k|TensorFlow - A curated list of dedicated resources http://tensorflow.org| +|[Mask_RCNN](https://github.com/matterport/Mask_RCNN)|13.5k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow| +|[awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)|13.3k|A curated list of awesome Deep Learning tutorials, projects and communities.| +|[100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|12.9k|100-Days-Of-ML-Code中文版| +|[TensorFlow-Course](https://github.com/machinelearningmindset/TensorFlow-Course)|12.9k|Simple and ready-to-use tutorials for TensorFlow| +|[Qix](https://github.com/ty4z2008/Qix)|12.8k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang| +|[homemade-machine-learning](https://github.com/trekhleb/homemade-machine-learning)|12.8k|🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained| +|[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|12.8k|PyTorch Tutorial for Deep Learning Researchers| +|[cheatsheets-ai](https://github.com/kailashahirwar/cheatsheets-ai)|12.5k|Essential Cheat Sheets for deep learning and machine learning researchers| +|[predictionio](https://github.com/apache/predictionio)|12k|PredictionIO, a machine learning server for developers and ML engineers.| +|[ML-From-Scratch](https://github.com/eriklindernoren/ML-From-Scratch)|11.8k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| +|[Virgilio](https://github.com/virgili0/Virgilio)|11.6k|Your new Mentor for Data Science E-Learning.| +|[reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|11.5k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| +|[funNLP](https://github.com/fighting41love/funNLP)|11.4k|新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增…| +|[tensorflow-zh](https://github.com/jikexueyuanwiki/tensorflow-zh)|11.1k|谷歌全新开源人工智能系统TensorFlow官方文档中文版| +|[deeplearning4j](https://github.com/eclipse/deeplearning4j)|11.1k|Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark| +|[DeepSpeech](https://github.com/mozilla/DeepSpeech)|10.9k|A TensorFlow implementation of Baidu's DeepSpeech architecture| +|[pytorch-transformers](https://github.com/huggingface/pytorch-transformers)|10.6k|👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)| +|[python-machine-learning-book](https://github.com/rasbt/python-machine-learning-book)|10.1k|The "Python Machine Learning (1st edition)" book code repository and info resource| +|[FastPhotoStyle](https://github.com/NVIDIA/FastPhotoStyle)|9.8k|Style transfer, deep learning, feature transform| +|[neural-networks-and-deep-learning](https://github.com/mnielsen/neural-networks-and-deep-learning)|9.8k|Code samples for my book "Neural Networks and Deep Learning"| +|[convnetjs](https://github.com/karpathy/convnetjs)|9.8k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.| +|[examples](https://github.com/pytorch/examples)|9.7k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.| +|[Paddle](https://github.com/PaddlePaddle/Paddle)|9.6k|PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）| +|[dive-into-machine-learning](https://github.com/hangtwenty/dive-into-machine-learning)|9.5k|Dive into Machine Learning with Python Jupyter notebook and scikit-learn!| +|[neural-enhance](https://github.com/alexjc/neural-enhance)|9.4k|Super Resolution for images using deep learning.| +|[Machine-Learning-Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials)|9.3k|machine learning and deep learning tutorials, articles and other resources| +|[LightGBM](https://github.com/microsoft/LightGBM)|9.3k|A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tr…| +|[tflearn](https://github.com/tflearn/tflearn)|9.2k|Deep learning library featuring a higher-level API for TensorFlow.| +|[pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)|9.2k|Image-to-Image Translation in PyTorch| +|[nndl.github.io](https://github.com/nndl/nndl.github.io)|9.1k|《神经网络与深度学习》 Neural Network and Deep Learning| +|[deeplearning-models](https://github.com/rasbt/deeplearning-models)|9k|A collection of various deep learning architectures, models, and tips| +|[stanford-cs-229-machine-learning](https://github.com/afshinea/stanford-cs-229-machine-learning)|8.9k|VIP cheatsheets for Stanford's CS 229 Machine Learning| +|[turicreate](https://github.com/apple/turicreate)|8.9k|Turi Create simplifies the development of custom machine learning models.| +|[stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials)|8.8k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| +|[facenet](https://github.com/davidsandberg/facenet)|8.8k|Face recognition using Tensorflow| +|[ChatterBot](https://github.com/gunthercox/ChatterBot)|8.7k|ChatterBot is a machine learning, conversational dialog engine for creating chat bots| +|[state-of-the-art-result-for-machine-learning-problems](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems)|8.7k|This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep th…| +|[tensor2tensor](https://github.com/tensorflow/tensor2tensor)|8.5k|Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.| +|[caffe2](https://github.com/facebookarchive/caffe2)|8.5k|Caffe2 is a lightweight, modular, and scalable deep learning framework.| +|[EffectiveTensorflow](https://github.com/vahidk/EffectiveTensorflow)|8.4k|TensorFlow 1.x and 2.x tutorials and best practices.| +|[awesome-deep-vision](https://github.com/kjw0612/awesome-deep-vision)|8.4k|A curated list of deep learning resources for computer vision| +|[DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|8.3k|Decensoring Hentai with Deep Neural Networks| +|[fast-style-transfer](https://github.com/lengstrom/fast-style-transfer)|8.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| +|[dopamine](https://github.com/google/dopamine)|8.2k|Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.| +|[sonnet](https://github.com/deepmind/sonnet)|7.8k|TensorFlow-based neural network library| +|[dlib](https://github.com/davisking/dlib)|7.7k|A toolkit for making real world machine learning and data analysis applications in C++| +|[deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)|7.7k|Jupyter notebooks for the code samples of the book "Deep Learning with Python"| +|[Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)|7.6k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…| +|[MLAlgorithms](https://github.com/rushter/MLAlgorithms)|7.6k|Minimal and clean examples of machine learning algorithms implementations| +|[stylegan](https://github.com/NVlabs/stylegan)|7.5k|StyleGAN - Official TensorFlow Implementation| +|[TensorFlow-Tutorials](https://github.com/Hvass-Labs/TensorFlow-Tutorials)|7.5k|TensorFlow Tutorials with YouTube Videos| +|[DeOldify](https://github.com/jantic/DeOldify)|7.4k|A Deep Learning based project for colorizing and restoring old images (and video!)| +|[kubeflow](https://github.com/kubeflow/kubeflow)|7.3k|Machine Learning Toolkit for Kubernetes| +|[php-ml](https://github.com/php-ai/php-ml)|7.3k|PHP-ML - Machine Learning library for PHP| +|[horovod](https://github.com/horovod/horovod)|7.2k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| +|[pattern](https://github.com/clips/pattern)|7.1k|Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysi…| +|[conv_arithmetic](https://github.com/vdumoulin/conv_arithmetic)|7.1k|A technical report on convolution arithmetic in the context of deep learning| +|[flair](https://github.com/zalandoresearch/flair)|6.9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)| +|[allennlp](https://github.com/allenai/allennlp)|6.8k|An open-source NLP research library, built on PyTorch.| +|[Learn_Machine_Learning_in_3_Months](https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months)|6.7k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube| +|[imgaug](https://github.com/aleju/imgaug)|6.7k|Image augmentation for machine learning experiments.| +|[vid2vid](https://github.com/NVIDIA/vid2vid)|6.7k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| +|[face-api.js](https://github.com/justadudewhohacks/face-api.js)|6.6k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js| +|[tutorials](https://github.com/MorvanZhou/tutorials)|6.6k|机器学习相关教程| +|[pytorch-handbook](https://github.com/zergtant/pytorch-handbook)|6.6k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行| +|[onnx](https://github.com/onnx/onnx)|6.6k|Open Neural Network Exchange| +|[golearn](https://github.com/sjwhitworth/golearn)|6.6k|Machine Learning for Go| +|[mit-deep-learning-book-pdf](https://github.com/janishar/mit-deep-learning-book-pdf)|6.5k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| +|[vowpal_wabbit](https://github.com/VowpalWabbit/vowpal_wabbit)|6.5k|Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as onli…| +|[ml-agents](https://github.com/Unity-Technologies/ml-agents)|6.5k|Unity Machine Learning Agents Toolkit| +|[machinelearning](https://github.com/dotnet/machinelearning)|6.3k|ML.NET is an open source and cross-platform machine learning framework for .NET.| +|[lime](https://github.com/marcotcr/lime)|6.3k|Lime: Explaining the predictions of any machine learning classifier| +|[numpy-ml](https://github.com/ddbourgin/numpy-ml)|6.3k|Machine learning, in numpy| +|[maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark)|6.2k|Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.| +|[tpot](https://github.com/EpistasisLab/tpot)|6.1k|A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.| +|[rasa](https://github.com/RasaHQ/rasa)|6.1k|💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, c…| +|[shap](https://github.com/slundberg/shap)|6.1k|A unified approach to explain the output of any machine learning model.| +|[DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow)|6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"| +|[deep-learning-drizzle](https://github.com/kmario23/deep-learning-drizzle)|5.8k|Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from…| +|[autokeras](https://github.com/keras-team/autokeras)|5.8k|Accessible AutoML for deep learning.| +|[TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.8k|Simple tutorials using Google's TensorFlow Framework| +|[machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|5.8k|💬 Machine Learning Course with Python. Refer to the course page for step-by-step explanations.| +|[deep_learning_object_detection](https://github.com/hoya012/deep_learning_object_detection)|5.7k|A paper list of object detection using deep learning.| +|[netron](https://github.com/lutzroeder/netron)|5.7k|Visualizer for neural network, deep learning and machine learning models| +|[mmdetection](https://github.com/open-mmlab/mmdetection)|5.6k|Open MMLab Detection Toolbox and Benchmark| +|[Swift-AI](https://github.com/Swift-AI/Swift-AI)|5.6k|The Swift machine learning library.| +|[mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)|5.6k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| +|[facets](https://github.com/PAIR-code/facets)|5.6k|Visualizations for machine learning datasets| +|[ludwig](https://github.com/uber/ludwig)|5.5k|Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to…| +|[DeepFaceLab](https://github.com/iperov/DeepFaceLab)|5.5k|DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work stan…| +|[pyro](https://github.com/pyro-ppl/pyro)|5.5k|Deep universal probabilistic programming with Python and PyTorch| +|[guess](https://github.com/guess-js/guess)|5.4k|Libraries & tools for enabling Machine Learning driven user-experiences on the web| +|[tensorboardX](https://github.com/lanpa/tensorboardX)|5.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| +|[deep-learning-models](https://github.com/fchollet/deep-learning-models)|5.4k|Keras code and weights files for popular deep learning models.| +|[tensorlayer](https://github.com/tensorlayer/tensorlayer)|5.4k|Deep Learning and Reinforcement Learning Library for Scientists| +|[pytorch-book](https://github.com/chenyuntc/pytorch-book)|5.4k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation| +|[generative-models](https://github.com/wiseodd/generative-models)|5.3k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| +|[tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)|5.3k|From the basics to slightly more interesting applications of Tensorflow| +|[DeepLearningFlappyBird](https://github.com/yenchenlin/DeepLearningFlappyBird)|5.3k|Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).| +|[bullet3](https://github.com/bulletphysics/bullet3)|5.3k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| +|[pytext](https://github.com/facebookresearch/pytext)|5.3k|A natural language modeling framework based on PyTorch| +|[tensorflow_cookbook](https://github.com/nfmcclure/tensorflow_cookbook)|5.1k|Code for Tensorflow Machine Learning Cookbook| +|[deep-image-prior](https://github.com/DmitryUlyanov/deep-image-prior)|5k|Image restoration with neural networks but without learning.| +|[srez](https://github.com/david-gpu/srez)|5k|Image super-resolution through deep learning| +|[deepo](https://github.com/ufoym/deepo)|5k|Set up deep learning environment in a single command line.| +|[text_classification](https://github.com/brightmart/text_classification)|5k|all kinds of text classification models and more with deep learning| +|[chainer](https://github.com/chainer/chainer)|5k|A flexible framework of neural networks for deep learning| +|[darkflow](https://github.com/thtrieu/darkflow)|5k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def …| +|[fairseq](https://github.com/pytorch/fairseq)|4.9k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| +|[faceai](https://github.com/vipstone/faceai)|4.9k|一款入门级的人脸、视频、文字检测以及识别的项目.| +|[bert-as-service](https://github.com/hanxiao/bert-as-service)|4.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model| +|[cnn-text-classification-tf](https://github.com/dennybritz/cnn-text-classification-tf)|4.9k|Convolutional Neural Network for Text Classification in Tensorflow| +|[seq2seq](https://github.com/google/seq2seq)|4.9k|A general-purpose encoder-decoder framework for Tensorflow| +|[pretrained-models.pytorch](https://github.com/Cadene/pretrained-models.pytorch)|4.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.| +|[pytorch_geometric](https://github.com/rusty1s/pytorch_geometric)|4.8k|Geometric Deep Learning Extension Library for PyTorch| +|[have-fun-with-machine-learning](https://github.com/humphd/have-fun-with-machine-learning)|4.8k|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks| +|[nmt](https://github.com/tensorflow/nmt)|4.8k|TensorFlow Neural Machine Translation Tutorial| +|[neural-style](https://github.com/anishathalye/neural-style)|4.8k|Neural style in TensorFlow! 🎨| +|[tensorpack](https://github.com/tensorpack/tensorpack)|4.7k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility| +|[keras-js](https://github.com/transcranial/keras-js)|4.6k|Run Keras models in the browser, with GPU support using WebGL| +|[aerosolve](https://github.com/airbnb/aerosolve)|4.6k|A machine learning package built for humans.| +|[TopDeepLearning](https://github.com/aymericdamien/TopDeepLearning)|4.5k|A list of popular github projects related to deep learning| +|[python-machine-learning-book-2nd-edition](https://github.com/rasbt/python-machine-learning-book-2nd-edition)|4.5k|The "Python Machine Learning (2nd edition)" book code repository and info resource| +|[swift](https://github.com/tensorflow/swift)|4.5k|Swift for TensorFlow Project Home Page| +|[TensorFlow-World](https://github.com/astorfi/TensorFlow-World)|4.4k|🌎 Simple and ready-to-use tutorials for TensorFlow| +|[TensorFlow-Book](https://github.com/BinRoot/TensorFlow-Book)|4.3k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.| +|[xlnet](https://github.com/zihangdai/xlnet)|4.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| +|[edward](https://github.com/blei-lab/edward)|4.3k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| +|[alluxio](https://github.com/Alluxio/alluxio)|4.3k|Alluxio, data orchestration for analytics and machine learning in the cloud| +|[stargan](https://github.com/yunjey/stargan)|4k|Official PyTorch Implementation of StarGAN - CVPR 2018| +|[keras-rl](https://github.com/keras-rl/keras-rl)|4k|Deep Reinforcement Learning for Keras.| +|[tensorspace](https://github.com/tensorspace-team/tensorspace)|3.9k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained dee…| +|[MMdnn](https://github.com/microsoft/MMdnn)|3.9k|MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion a…| +|[sketch-code](https://github.com/ashnkumar/sketch-code)|3.9k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| +|[faster-rcnn.pytorch](https://github.com/jwyang/faster-rcnn.pytorch)|3.9k|A faster pytorch implementation of faster r-cnn| +|[PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|3.8k|PyTorch implementations of Generative Adversarial Networks.| +|[nlp-tutorial](https://github.com/graykode/nlp-tutorial)|3.8k|Natural Language Processing Tutorial for Deep Learning Researchers| +|[pix2pixHD](https://github.com/NVIDIA/pix2pixHD)|3.8k|Synthesizing and manipulating 2048x1024 images with conditional GANs| +|[photoprism](https://github.com/photoprism/photoprism)|3.8k|Personal Photo Management powered by Go and Google TensorFlow| +|[the-incredible-pytorch](https://github.com/ritchieng/the-incredible-pytorch)|3.8k|The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.| +|[pipeline](https://github.com/PipelineAI/pipeline)|3.7k|PipelineAI: Real-Time Enterprise AI Platform| +|[serving](https://github.com/tensorflow/serving)|3.7k|A flexible, high-performance serving system for machine learning models| +|[PySyft](https://github.com/OpenMined/PySyft)|3.7k|A library for encrypted, privacy preserving deep learning| +|[DeepLearningZeroToAll](https://github.com/hunkim/DeepLearningZeroToAll)|3.6k|TensorFlow Basic Tutorial Labs| +|[graph_nets](https://github.com/deepmind/graph_nets)|3.6k|Build Graph Nets in Tensorflow| +|[practical-pytorch](https://github.com/spro/practical-pytorch)|3.5k|PyTorch tutorials demonstrating modern techniques with readable code| +|[CapsNet-Tensorflow](https://github.com/naturomics/CapsNet-Tensorflow)|3.5k|A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules| +|[tensorflow-docs](https://github.com/xitu/tensorflow-docs)|3.5k|TensorFlow 最新官方文档中文版| +|[PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|3.5k|Build your neural network easy and fast| +|[DeepPavlov](https://github.com/deepmipt/DeepPavlov)|3.3k|An open source library for deep learning end-to-end dialog systems and chatbots.| +|[Tensorflow-Tutorial](https://github.com/MorvanZhou/Tensorflow-Tutorial)|3.3k|Tensorflow tutorial from basic to hard| +|[SSD-Tensorflow](https://github.com/balancap/SSD-Tensorflow)|3.3k|Single Shot MultiBox Detector in TensorFlow| +|[Practical_RL](https://github.com/yandexdataschool/Practical_RL)|3.3k|A course in reinforcement learning in the wild| +|[tensorflow-generative-model-collections](https://github.com/hwalsuklee/tensorflow-generative-model-collections)|3.3k|Collection of generative models in Tensorflow| +|[OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py)|3.3k|Open Source Neural Machine Translation in PyTorch| +|[TensorFlowOnSpark](https://github.com/yahoo/TensorFlowOnSpark)|3.2k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| +|[hands-on-ml-zh](https://github.com/apachecn/hands-on-ml-zh)|3.1k|📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】| +|[Learning-to-See-in-the-Dark](https://github.com/cchen156/Learning-to-See-in-the-Dark)|3.1k|Learning to See in the Dark. CVPR 2018| +|[face-alignment](https://github.com/1adrianb/face-alignment)|3k|🔥 2D and 3D Face alignment library build using pytorch| +|[pytorch-examples](https://github.com/jcjohnson/pytorch-examples)|3k|Simple examples to introduce PyTorch| +|[attention-is-all-you-need-pytorch](https://github.com/jadore801120/attention-is-all-you-need-pytorch)|3k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| +|[AlphaPose](https://github.com/MVIG-SJTU/AlphaPose)|3k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| +|[Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|3k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| +|[Tensorflow-Project-Template](https://github.com/MrGemy95/Tensorflow-Project-Template)|3k|A best practice for tensorflow project template architecture.| +|[tf-faster-rcnn](https://github.com/endernewton/tf-faster-rcnn)|2.9k|Tensorflow Faster RCNN for Object Detection| +|[vespa](https://github.com/vespa-engine/vespa)|2.9k|Vespa is an engine for low-latency computation over large data sets.| +|[textgenrnn](https://github.com/minimaxir/textgenrnn)|2.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| +|[FastMaskRCNN](https://github.com/CharlesShang/FastMaskRCNN)|2.9k|Mask RCNN in TensorFlow| +|[lucid](https://github.com/tensorflow/lucid)|2.8k|A collection of infrastructure and tools for research in neural network interpretability.| +|[awesome-project-ideas](https://github.com/NirantK/awesome-project-ideas)|2.8k|Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas| +|[easy-tensorflow](https://github.com/easy-tensorflow/easy-tensorflow)|2.8k|Simple and comprehensive tutorials in TensorFlow| +|[adanet](https://github.com/tensorflow/adanet)|2.8k|Fast and flexible AutoML with learning guarantees.| +|[handong1587.github.io](https://github.com/handong1587/handong1587.github.io)|2.7k|| +|[tensorflow_poems](https://github.com/jinfagang/tensorflow_poems)|2.7k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！| +|[BERT-pytorch](https://github.com/codertimo/BERT-pytorch)|2.7k|Google AI 2018 BERT pytorch implementation| +|[DeepLearning.ai-Summary](https://github.com/mbadry1/DeepLearning.ai-Summary)|2.7k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…| +|[DeepVideoAnalytics](https://github.com/AKSHAYUBHAT/DeepVideoAnalytics)|2.7k|A distributed visual search and visual data analytics platform.| +|[Tensorflow-Cookbook](https://github.com/taki0112/Tensorflow-Cookbook)|2.7k|Simple Tensorflow Cookbook for easy-to-use| +|[PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll)|2.7k|Simple PyTorch Tutorials Zero to ALL!| +|[60_Days_RL_Challenge](https://github.com/andri27-ts/60_Days_RL_Challenge)|2.7k|Learn Deep Reinforcement Learning in Depth in 60 days| +|[DeepLearning](https://github.com/yusugomori/DeepLearning)|2.7k|Deep Learning (Python, C, C++, Java, Scala, Go)| +|[pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)|2.7k|Create HTML profiling reports from pandas DataFrame objects| +|[TensorFlowSharp](https://github.com/migueldeicaza/TensorFlowSharp)|2.7k|TensorFlow API for .NET languages| +|[gorgonia](https://github.com/gorgonia/gorgonia)|2.7k|Gorgonia is a library that helps facilitate machine learning in Go.| +|[pythia](https://github.com/facebookresearch/pythia)|2.7k|A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)| +|[MatchZoo](https://github.com/NTMC-Community/MatchZoo)|2.6k|Facilitating the design, comparison and sharing of deep text matching models.| +|[ssd.pytorch](https://github.com/amdegroot/ssd.pytorch)|2.6k|A PyTorch Implementation of Single Shot MultiBox Detector| +|[dgl](https://github.com/dmlc/dgl)|2.6k|Python package built to ease deep learning on graph, on top of existing DL frameworks.| +|[deep-learning-keras-tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow)|2.6k|Introduction to Deep Neural Networks with Keras and Tensorflow| +|[deep-learning-book](https://github.com/rasbt/deep-learning-book)|2.6k|Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …| +|[daily-paper-computer-vision](https://github.com/amusi/daily-paper-computer-vision)|2.5k|记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文| +|[tf-pose-estimation](https://github.com/ildoonet/tf-pose-estimation)|2.5k|Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.| +|[NakedTensor](https://github.com/jostmey/NakedTensor)|2.5k|Bare bone examples of machine learning in TensorFlow| +|[gocv](https://github.com/hybridgroup/gocv)|2.5k|Go package for computer vision using OpenCV 4 and beyond.| +|[Automatic_Speech_Recognition](https://github.com/zzw922cn/Automatic_Speech_Recognition)|2.5k|End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow| +|[DeepQA](https://github.com/Conchylicultor/DeepQA)|2.5k|My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot| +|[makegirlsmoe_web](https://github.com/makegirlsmoe/makegirlsmoe_web)|2.5k|Create Anime Characters with MakeGirlsMoe| +|[machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)|2.4k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| +|[text-classification-cnn-rnn](https://github.com/gaussic/text-classification-cnn-rnn)|2.4k|CNN-RNN中文文本分类，基于TensorFlow| +|[MachineLearning](https://github.com/allmachinelearning/MachineLearning)|2.4k|Machine learning resources| +|[tensorforce](https://github.com/tensorforce/tensorforce)|2.4k|Tensorforce: a TensorFlow library for applied reinforcement learning| +|[HyperLPR](https://github.com/zeusees/HyperLPR)|2.4k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| +|[tencent-ml-images](https://github.com/Tencent/tencent-ml-images)|2.4k|Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet| +|[deepjazz](https://github.com/jisungk/deepjazz)|2.4k|Deep learning driven jazz generation using Keras & Theano!| +|[benchmark_results](https://github.com/foolwood/benchmark_results)|2.4k|Visual Tracking Paper List| +|[LSTM-Human-Activity-Recognition](https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition)|2.3k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo…| +|[neural-style-tf](https://github.com/cysmith/neural-style-tf)|2.3k|TensorFlow (Python API) implementation of Neural Style| +|[tensorwatch](https://github.com/microsoft/tensorwatch)|2.3k|Debugging, monitoring and visualization for Python Machine Learning and Data Science| +|[stanfordnlp](https://github.com/stanfordnlp/stanfordnlp)|2.3k|Official Stanford NLP Python Library for Many Human Languages| +|[VisualDL](https://github.com/PaddlePaddle/VisualDL)|2.3k|A platform to visualize the deep learning process and result.| +|[d2l-en](https://github.com/d2l-ai/d2l-en)|2.3k|Dive into Deep Learning: an interactive deep learning book with code, math, and discussions| +|[keras-vis](https://github.com/raghakot/keras-vis)|2.3k|Neural network visualization toolkit for keras| +|[pyod](https://github.com/yzhao062/pyod)|2.3k|A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)| +|[zhihu](https://github.com/NELSONZHAO/zhihu)|2.3k|This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Pyt…| +|[text-detection-ctpn](https://github.com/eragonruan/text-detection-ctpn)|2.3k|text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network| +|[training](https://github.com/cloud-annotations/training)|2.3k|🐝 Custom Object Detection and Classification Training| +|[gluon-api](https://github.com/gluon-api/gluon-api)|2.3k|A clear, concise, simple yet powerful and efficient API for deep learning.| +|[TensorFlow-and-DeepLearning-Tutorial](https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial)|2.3k|A TensorFlow & Deep Learning online course I taught in 2016| +|[cvat](https://github.com/opencv/cvat)|2.3k|Powerful and efficient Computer Vision Annotation Tool (CVAT)| +|[probability](https://github.com/tensorflow/probability)|2.3k|Probabilistic reasoning and statistical analysis in TensorFlow| +|[reinforcement-learning](https://github.com/rlcode/reinforcement-learning)|2.3k|Minimal and Clean Reinforcement Learning Examples| +|[deep-learning-model-convertor](https://github.com/ysh329/deep-learning-model-convertor)|2.2k|The convertor/conversion of deep learning models for different deep learning frameworks/softwares.| +|[tensorflow-internals](https://github.com/horance-liu/tensorflow-internals)|2.2k|It is open source ebook about TensorFlow kernel and implementation mechanism.| +|[darts](https://github.com/quark0/darts)|2.2k|Differentiable architecture search for convolutional and recurrent networks| +|[luminoth](https://github.com/tryolabs/luminoth)|2.2k|Deep Learning toolkit for Computer Vision| +|[OpenNMT](https://github.com/OpenNMT/OpenNMT)|2.2k|Open Source Neural Machine Translation in Torch| +|[PocketFlow](https://github.com/Tencent/PocketFlow)|2.2k|An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.| +|[deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch)|2.1k|Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegre…| +|[DeepNLP-models-Pytorch](https://github.com/DSKSD/DeepNLP-models-Pytorch)|2.1k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)| +|[jetson-inference](https://github.com/dusty-nv/jetson-inference)|2.1k|Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.| +|[colorization](https://github.com/richzhang/colorization)|2.1k|Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.| +|[pytorch-semseg](https://github.com/meetshah1995/pytorch-semseg)|2.1k|Semantic Segmentation Architectures Implemented in PyTorch| +|[ignite](https://github.com/pytorch/ignite)|2.1k|High-level library to help with training neural networks in PyTorch| +|[pointnet](https://github.com/charlesq34/pointnet)|2.1k|PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation| +|[polyaxon](https://github.com/polyaxon/polyaxon)|2.1k|A platform for reproducible and scalable machine learning and deep learning on kubernetes| +|[Faster-RCNN_TF](https://github.com/smallcorgi/Faster-RCNN_TF)|2.1k|Faster-RCNN in Tensorflow| +|[telegram-list](https://github.com/goq/telegram-list)|2k|List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для пр…| +|[3DDFA](https://github.com/cleardusk/3DDFA)|2k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| +|[interactive-deep-colorization](https://github.com/junyanz/interactive-deep-colorization)|2k|Deep learning software for colorizing black and white images with a few clicks.| +|[tensorflow-on-raspberry-pi](https://github.com/samjabrahams/tensorflow-on-raspberry-pi)|2k|TensorFlow for Raspberry Pi| +|[nlp-architect](https://github.com/NervanaSystems/nlp-architect)|2k|NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techn…| +|[yolov3](https://github.com/ultralytics/yolov3)|2k|YOLOv3 in PyTorch > ONNX > CoreML > iOS| +|[awesome-deeplearning-resources](https://github.com/endymecy/awesome-deeplearning-resources)|2k|Deep Learning and deep reinforcement learning research papers and some codes| +|[kcws](https://github.com/koth/kcws)|2k|Deep Learning Chinese Word Segment| +|[EAST](https://github.com/argman/EAST)|1.9k|A tensorflow implementation of EAST text detector| +|[Neural-Photo-Editor](https://github.com/ajbrock/Neural-Photo-Editor)|1.9k|A simple interface for editing natural photos with generative neural networks.| +|[text-to-image](https://github.com/paarthneekhara/text-to-image)|1.9k|Text to image synthesis using thought vectors| +|[ELF](https://github.com/facebookresearch/ELF)|1.9k|An End-To-End, Lightweight and Flexible Platform for Game Research| +|[rust](https://github.com/tensorflow/rust)|1.9k|Rust language bindings for TensorFlow| +|[DeepRL-Agents](https://github.com/awjuliani/DeepRL-Agents)|1.9k|A set of Deep Reinforcement Learning Agents implemented in Tensorflow.| +|[tensorflow-build](https://github.com/lakshayg/tensorflow-build)|1.9k|TensorFlow binaries supporting AVX, FMA, SSE| +|[papers](https://github.com/aleju/papers)|1.9k|Summaries of machine learning papers| +|[docs](https://github.com/tensorflow/docs)|1.9k|TensorFlow documentation| +|[TensorFlow-Tutorials](https://github.com/golbin/TensorFlow-Tutorials)|1.9k|텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다| +|[deepdetect](https://github.com/jolibrain/deepdetect)|1.9k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE| +|[tensorflow-windows-wheel](https://github.com/fo40225/tensorflow-windows-wheel)|1.9k|Tensorflow prebuilt binary for Windows| +|[Deep-Learning-for-Recommendation-Systems](https://github.com/robi56/Deep-Learning-for-Recommendation-Systems)|1.9k|This repository contains Deep Learning based articles , paper and repositories for Recommender Systems| +|[srgan](https://github.com/tensorlayer/srgan)|1.9k|Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network| +|[tensorflow-speech-recognition](https://github.com/pannous/tensorflow-speech-recognition)|1.9k|🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks| +|[decaNLP](https://github.com/salesforce/decaNLP)|1.9k|The Natural Language Decathlon: A Multitask Challenge for NLP| +|[Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials)|1.9k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| +|[tangent](https://github.com/google/tangent)|1.9k|Source-to-Source Debuggable Derivatives in Pure Python| +|[DeepCTR](https://github.com/shenweichen/DeepCTR)|1.8k|Easy-to-use,Modular and Extendible package of deep-learning based CTR models.| +|[text](https://github.com/pytorch/text)|1.8k|Data loaders and abstractions for text and NLP| +|[TensorFlow-Roadmap](https://github.com/astorfi/TensorFlow-Roadmap)|1.8k|📡 Organized & Useful Resources about Deep Learning with TensorFlow| +|[Super-SloMo](https://github.com/avinashpaliwal/Super-SloMo)|1.8k|PyTorch implementation of Super SloMo by Jiang et al.| +|[Deep_reinforcement_learning_Course](https://github.com/simoninithomas/Deep_reinforcement_learning_Course)|1.8k|Implementations from the free course Deep Reinforcement Learning with Tensorflow| +|[spotlight](https://github.com/maciejkula/spotlight)|1.8k|Deep recommender models using PyTorch.| +|[SiamMask](https://github.com/foolwood/SiamMask)|1.8k|[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach| +|[seq2seq-couplet](https://github.com/wb14123/seq2seq-couplet)|1.8k|Play couplet with seq2seq model. 用深度学习对对联。| +|[gluon-nlp](https://github.com/dmlc/gluon-nlp)|1.7k|NLP made easy| +|[keras-attention-mechanism](https://github.com/philipperemy/keras-attention-mechanism)|1.7k|Attention mechanism Implementation for Keras.| +|[awesome-production-machine-learning](https://github.com/EthicalML/awesome-production-machine-learning)|1.7k|A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning| +|[Ad-papers](https://github.com/wzhe06/Ad-papers)|1.7k|Papers on Computational Advertising| +|[deep-high-resolution-net.pytorch](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch)|1.7k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…| +|[benchm-ml](https://github.com/szilard/benchm-ml)|1.7k|A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…| +|[lingvo](https://github.com/tensorflow/lingvo)|1.7k|Lingvo| +|[deepvariant](https://github.com/google/deepvariant)|1.7k|DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA…| +|[byteps](https://github.com/bytedance/byteps)|1.7k|A high performance and general PS framework for distributed training| +|[hub](https://github.com/tensorflow/hub)|1.7k|A library for transfer learning by reusing parts of TensorFlow models.| +|[deepchem](https://github.com/deepchem/deepchem)|1.7k|Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology| +|[zhusuan](https://github.com/thu-ml/zhusuan)|1.7k|A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow| +|[Bender](https://github.com/xmartlabs/Bender)|1.7k|Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.| +|[tensorflow_template_application](https://github.com/tobegit3hub/tensorflow_template_application)|1.7k|TensorFlow template application for deep learning| +|[AI-Blocks](https://github.com/MrNothing/AI-Blocks)|1.7k|A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!| +|[DeepLearn](https://github.com/GauravBh1010tt/DeepLearn)|1.7k|Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.| +|[ASRT_SpeechRecognition](https://github.com/nl8590687/ASRT_SpeechRecognition)|1.7k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统| +|[Semantic-Segmentation-Suite](https://github.com/GeorgeSeif/Semantic-Segmentation-Suite)|1.7k|Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!| +|[ai-deadlines](https://github.com/abhshkdz/ai-deadlines)|1.7k|⏰ AI conference deadline countdowns| +|[sru](https://github.com/taolei87/sru)|1.7k|Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)| +|[Porcupine](https://github.com/Picovoice/Porcupine)|1.7k|On-device wake word detection powered by deep learning.| +|[AlphaZero_Gomoku](https://github.com/junxiaosong/AlphaZero_Gomoku)|1.7k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| +|[MUNIT](https://github.com/NVlabs/MUNIT)|1.7k|Multimodal Unsupervised Image-to-Image Translation| +|[mmlspark](https://github.com/Azure/mmlspark)|1.6k|Microsoft Machine Learning for Apache Spark| +|[transparent_latent_gan](https://github.com/SummitKwan/transparent_latent_gan)|1.6k|Use supervised learning to illuminate the latent space of GAN for controlled generation and edit| +|[Meta-Learning-Papers](https://github.com/floodsung/Meta-Learning-Papers)|1.6k|Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning| +|[Flux.jl](https://github.com/FluxML/Flux.jl)|1.6k|Relax! Flux is the ML library that doesn't make you tensor| +|[deepschool.io](https://github.com/sachinruk/deepschool.io)|1.6k|Deep Learning tutorials in jupyter notebooks.| +|[tacotron](https://github.com/keithito/tacotron)|1.6k|A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)| +|[VoTT](https://github.com/microsoft/VoTT)|1.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.| +|[euler](https://github.com/alibaba/euler)|1.6k|A distributed graph deep learning framework.| +|[DALI](https://github.com/NVIDIA/DALI)|1.6k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…| +|[DeepInterests](https://github.com/Honlan/DeepInterests)|1.6k|深度有趣| +|[pytorch-lightning](https://github.com/williamFalcon/pytorch-lightning)|1.6k|Rapid research framework for PyTorch. The researcher's version of Keras| +|[nnvm](https://github.com/dmlc/nnvm)|1.6k|move to https://github.com/dmlc/tvm/| +|[dm_control](https://github.com/deepmind/dm_control)|1.6k|The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo ph…| +|[pytorch-a2c-ppo-acktr-gail](https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail)|1.5k|PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region met…| +|[Awesome-PyTorch-Chinese](https://github.com/INTERMT/Awesome-PyTorch-Chinese)|1.5k|【干货】史上最全的PyTorch学习资源汇总| +|[deep-rl-tensorflow](https://github.com/carpedm20/deep-rl-tensorflow)|1.5k|TensorFlow implementation of Deep Reinforcement Learning papers| +|[mkl-dnn](https://github.com/intel/mkl-dnn)|1.5k|Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)| +|[automl-gs](https://github.com/minimaxir/automl-gs)|1.5k|Provide an input CSV and a target field to predict, generate a model + code to run it.| +|[pytorch-summary](https://github.com/sksq96/pytorch-summary)|1.5k|Model summary in PyTorch similar to `model.summary()` in Keras| +|[3D-ResNets-PyTorch](https://github.com/kenshohara/3D-ResNets-PyTorch)|1.5k|3D ResNets for Action Recognition (CVPR 2018)| +|[chess-alpha-zero](https://github.com/Zeta36/chess-alpha-zero)|1.5k|Chess reinforcement learning by AlphaGo Zero methods.| +|[keras-yolo2](https://github.com/experiencor/keras-yolo2)|1.5k|Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon…| +|[texar](https://github.com/asyml/texar)|1.5k|Toolkit for Machine Learning and Text Generation, in TensorFlow| +|[XLearning](https://github.com/Qihoo360/XLearning)|1.5k|AI on Hadoop| +|[DeepLearningForNLPInPytorch](https://github.com/rguthrie3/DeepLearningForNLPInPytorch)|1.5k|An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.| +|[tacotron](https://github.com/Kyubyong/tacotron)|1.5k|A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model| +|[fast-wavenet](https://github.com/tomlepaine/fast-wavenet)|1.5k|Speedy Wavenet generation using dynamic programming ⚡️| +|[deep-learning-with-keras-notebooks](https://github.com/erhwenkuo/deep-learning-with-keras-notebooks)|1.5k|Jupyter notebooks for using & learning Keras| +|[sequence_tagging](https://github.com/guillaumegenthial/sequence_tagging)|1.5k|Named Entity Recognition (LSTM + CRF) - Tensorflow| +|[BigGAN-PyTorch](https://github.com/ajbrock/BigGAN-PyTorch)|1.5k|The author's officially unofficial PyTorch BigGAN implementation.| +|[donkeycar](https://github.com/autorope/donkeycar)|1.5k|Open source hardware and software platform to build a small scale self driving car.| +|[quiver](https://github.com/keplr-io/quiver)|1.5k|Interactive convnet features visualization for Keras| +|[datasets](https://github.com/tensorflow/datasets)|1.5k|A collection of datasets ready to use with TensorFlow| +|[edge-connect](https://github.com/knazeri/edge-connect)|1.4k|EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212| +|[alpha-zero-general](https://github.com/suragnair/alpha-zero-general)|1.4k|A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4| +|[coach](https://github.com/NervanaSystems/coach)|1.4k|Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learnin…| +|[AutonomousDrivingCookbook](https://github.com/microsoft/AutonomousDrivingCookbook)|1.4k|Scenarios, tutorials and demos for Autonomous Driving| +|[human-pose-estimation.pytorch](https://github.com/microsoft/human-pose-estimation.pytorch)|1.4k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| +|[iOS_ML](https://github.com/alexsosn/iOS_ML)|1.4k|List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.| +|[GDLnotes](https://github.com/ahangchen/GDLnotes)|1.4k|Google Deep Learning Notes（TensorFlow教程）| +|[mathAI](https://github.com/Roujack/mathAI)|1.4k|一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.| +|[ml-cheatsheet](https://github.com/bfortuner/ml-cheatsheet)|1.4k|Machine learning cheatsheet| +|[zi2zi](https://github.com/kaonashi-tyc/zi2zi)|1.4k|Learning Chinese Character style with conditional GAN| +|[AI-Job-Notes](https://github.com/amusi/AI-Job-Notes)|1.4k|AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）| +|[tensorflow-yolov3](https://github.com/YunYang1994/tensorflow-yolov3)|1.4k|🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset| +|[TensorKart](https://github.com/kevinhughes27/TensorKart)|1.4k|self-driving MarioKart with TensorFlow| +|[TensorFlow-2.x-Tutorials](https://github.com/dragen1860/TensorFlow-2.x-Tutorials)|1.4k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…| +|[seldon-server](https://github.com/SeldonIO/seldon-server)|1.4k|Machine Learning Platform and Recommendation Engine built on Kubernetes| +|[turkce-yapay-zeka-kaynaklari](https://github.com/deeplearningturkiye/turkce-yapay-zeka-kaynaklari)|1.4k|Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.| +|[gandissect](https://github.com/CSAILVision/gandissect)|1.4k|Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/| +|[awesome-deep-learning-music](https://github.com/ybayle/awesome-deep-learning-music)|1.4k|List of articles related to deep learning applied to music| +|[tinyflow](https://github.com/tqchen/tinyflow)|1.4k|Tutorial code on how to build your own Deep Learning System in 2k Lines| +|[zh-NER-TF](https://github.com/Determined22/zh-NER-TF)|1.4k|A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)| +|[UNIT](https://github.com/mingyuliutw/UNIT)|1.4k|Unsupervised Image-to-Image Translation| +|[PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP)|1.4k|Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)| +|[DeblurGAN](https://github.com/KupynOrest/DeblurGAN)|1.4k|Image Deblurring using Generative Adversarial Networks| +|[NeuroNER](https://github.com/Franck-Dernoncourt/NeuroNER)|1.3k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.| +|[torchsample](https://github.com/ncullen93/torchsample)|1.3k|High-Level Training, Data Augmentation, and Utilities for Pytorch| +|[models](https://github.com/onnx/models)|1.3k|A collection of pre-trained, state-of-the-art models in the ONNX format| +|[CADL](https://github.com/pkmital/CADL)|1.3k|Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow…| +|[tensorflow-1.4-billion-password-analysis](https://github.com/philipperemy/tensorflow-1.4-billion-password-analysis)|1.3k|Deep Learning model to analyze a large corpus of clear text passwords.| +|[CoreML-in-ARKit](https://github.com/hanleyweng/CoreML-in-ARKit)|1.3k|Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit…| +|[DeepRecommender](https://github.com/NVIDIA/DeepRecommender)|1.3k|Deep learning for recommender systems| +|[DeepFace](https://github.com/RiweiChen/DeepFace)|1.3k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have…| +|[BerryNet](https://github.com/DT42/BerryNet)|1.3k|Deep learning gateway on Raspberry Pi and other edge devices| +|[pai](https://github.com/microsoft/pai)|1.2k|Resource scheduling and cluster management for AI| diff --git a/scripts/generate_stats.py b/scripts/generate_stats.py index 402ab17..ed3e705 100644 --- a/scripts/generate_stats.py +++ b/scripts/generate_stats.py @@ -82,10 +82,10 @@ def parse_results(results): def build_table(results_list): def build_html_fields(d): - return ['%s' % (d['url'], d['title']), d['stars_unparsed'], d['desc']] + return ['%s' % (d['url'], d['title'].split('/')[-1]), d['stars_unparsed'], d['desc']] def build_md_fields(d): - return ['[%s](%s)' % (d['title'], d['url']), d['stars_unparsed'], d['desc']] + return ['[%s](%s)' % (d['title'].split('/')[-1], d['url']), d['stars_unparsed'], d['desc']] html = '
Project NameStarsDescription
' md = '| Project Name | Stars | Description |\n| ------- | ------ | ------ |\n' From 1d2ea8e9f4d1814d81deccfcd68f6e9e64936212 Mon Sep 17 00:00:00 2001 From: aymericdamien Date: Wed, 14 Aug 2019 23:05:53 -0700 Subject: [PATCH 05/10] update --- README.md | 153 ++++++++++++-------------------------- scripts/generate_stats.py | 12 ++- 2 files changed, 57 insertions(+), 108 deletions(-) diff --git a/README.md b/README.md index e775afb..a4915f4 100644 --- a/README.md +++ b/README.md @@ -5,140 +5,110 @@ Last Update: 2018.08.12 | Project Name | Stars | Description | | ------- | ------ | ------ | -|[tensorflow](https://github.com/tensorflow/tensorflow)|132k|An Open Source Machine Learning Framework for Everyone| -|[models](https://github.com/tensorflow/models)|56.3k|Models and examples built with TensorFlow| +|[tensorflow](https://github.com/tensorflow/tensorflow)|133k|An Open Source Machine Learning Framework for Everyone| +|[models](https://github.com/tensorflow/models)|56.5k|Models and examples built with TensorFlow| |[keras](https://github.com/keras-team/keras)|43.4k|Deep Learning for humans| -|[awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning)|41.2k|A curated list of awesome Machine Learning frameworks, libraries and software.| -|[scikit-learn](https://github.com/scikit-learn/scikit-learn)|36.5k|scikit-learn: machine learning in Python| -|[TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|33.3k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| -|[DeepLearning-500-questions](https://github.com/scutan90/DeepLearning-500-questions)|32.4k|深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续.....…| -|[pytorch](https://github.com/pytorch/pytorch)|30.7k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| +|[scikit-learn](https://github.com/scikit-learn/scikit-learn)|36.6k|scikit-learn: machine learning in Python| +|[TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|33.4k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| +|[pytorch](https://github.com/pytorch/pytorch)|30.8k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| |[caffe](https://github.com/BVLC/caffe)|28.8k|Caffe: a fast open framework for deep learning.| -|[deeplearningbook-chinese](https://github.com/exacity/deeplearningbook-chinese)|25.8k|Deep Learning Book Chinese Translation| -|[Algorithm_Interview_Notes-Chinese](https://github.com/imhuay/Algorithm_Interview_Notes-Chinese)|25.7k|2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记| |[Deep-Learning-Papers-Reading-Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)|23.7k|Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!| -|[gold-miner](https://github.com/xitu/gold-miner)|23.3k|🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：| -|[machine-learning-for-software-engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers)|22.3k|A complete daily plan for studying to become a machine learning engineer.| |[practicalAI](https://github.com/GokuMohandas/practicalAI)|19.5k|📚 A practical approach to machine learning.| -|[awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers)|19.5k|The most cited deep learning papers| |[incubator-mxnet](https://github.com/apache/incubator-mxnet)|17.5k|Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;…| -|[bert](https://github.com/google-research/bert)|17.3k|TensorFlow code and pre-trained models for BERT| +|[bert](https://github.com/google-research/bert)|17.4k|TensorFlow code and pre-trained models for BERT| |[CNTK](https://github.com/microsoft/CNTK)|16.3k|Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit| +|[handson-ml](https://github.com/ageron/handson-ml)|16.3k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …| |[data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks)|16.2k|Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spar…| -|[handson-ml](https://github.com/ageron/handson-ml)|16.2k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …| |[fastai](https://github.com/fastai/fastai)|15k|The fastai deep learning library, plus lessons and tutorials| -|[awesome-tensorflow](https://github.com/jtoy/awesome-tensorflow)|14.8k|TensorFlow - A curated list of dedicated resources http://tensorflow.org| |[Mask_RCNN](https://github.com/matterport/Mask_RCNN)|13.5k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow| -|[awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)|13.3k|A curated list of awesome Deep Learning tutorials, projects and communities.| |[100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|12.9k|100-Days-Of-ML-Code中文版| |[TensorFlow-Course](https://github.com/machinelearningmindset/TensorFlow-Course)|12.9k|Simple and ready-to-use tutorials for TensorFlow| -|[Qix](https://github.com/ty4z2008/Qix)|12.8k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang| +|[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|12.9k|PyTorch Tutorial for Deep Learning Researchers| |[homemade-machine-learning](https://github.com/trekhleb/homemade-machine-learning)|12.8k|🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained| -|[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|12.8k|PyTorch Tutorial for Deep Learning Researchers| -|[cheatsheets-ai](https://github.com/kailashahirwar/cheatsheets-ai)|12.5k|Essential Cheat Sheets for deep learning and machine learning researchers| +|[reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|12.1k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| |[predictionio](https://github.com/apache/predictionio)|12k|PredictionIO, a machine learning server for developers and ML engineers.| |[ML-From-Scratch](https://github.com/eriklindernoren/ML-From-Scratch)|11.8k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| |[Virgilio](https://github.com/virgili0/Virgilio)|11.6k|Your new Mentor for Data Science E-Learning.| -|[reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|11.5k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| -|[funNLP](https://github.com/fighting41love/funNLP)|11.4k|新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增…| -|[tensorflow-zh](https://github.com/jikexueyuanwiki/tensorflow-zh)|11.1k|谷歌全新开源人工智能系统TensorFlow官方文档中文版| +|[funNLP](https://github.com/fighting41love/funNLP)|11.5k|新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增…| |[deeplearning4j](https://github.com/eclipse/deeplearning4j)|11.1k|Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark| |[DeepSpeech](https://github.com/mozilla/DeepSpeech)|10.9k|A TensorFlow implementation of Baidu's DeepSpeech architecture| -|[pytorch-transformers](https://github.com/huggingface/pytorch-transformers)|10.6k|👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)| +|[pytorch-transformers](https://github.com/huggingface/pytorch-transformers)|10.8k|👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)| |[python-machine-learning-book](https://github.com/rasbt/python-machine-learning-book)|10.1k|The "Python Machine Learning (1st edition)" book code repository and info resource| |[FastPhotoStyle](https://github.com/NVIDIA/FastPhotoStyle)|9.8k|Style transfer, deep learning, feature transform| |[neural-networks-and-deep-learning](https://github.com/mnielsen/neural-networks-and-deep-learning)|9.8k|Code samples for my book "Neural Networks and Deep Learning"| |[convnetjs](https://github.com/karpathy/convnetjs)|9.8k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.| |[examples](https://github.com/pytorch/examples)|9.7k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.| |[Paddle](https://github.com/PaddlePaddle/Paddle)|9.6k|PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）| -|[dive-into-machine-learning](https://github.com/hangtwenty/dive-into-machine-learning)|9.5k|Dive into Machine Learning with Python Jupyter notebook and scikit-learn!| |[neural-enhance](https://github.com/alexjc/neural-enhance)|9.4k|Super Resolution for images using deep learning.| -|[Machine-Learning-Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials)|9.3k|machine learning and deep learning tutorials, articles and other resources| +|[pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)|9.3k|Image-to-Image Translation in PyTorch| |[LightGBM](https://github.com/microsoft/LightGBM)|9.3k|A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tr…| |[tflearn](https://github.com/tflearn/tflearn)|9.2k|Deep learning library featuring a higher-level API for TensorFlow.| -|[pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)|9.2k|Image-to-Image Translation in PyTorch| |[nndl.github.io](https://github.com/nndl/nndl.github.io)|9.1k|《神经网络与深度学习》 Neural Network and Deep Learning| |[deeplearning-models](https://github.com/rasbt/deeplearning-models)|9k|A collection of various deep learning architectures, models, and tips| -|[stanford-cs-229-machine-learning](https://github.com/afshinea/stanford-cs-229-machine-learning)|8.9k|VIP cheatsheets for Stanford's CS 229 Machine Learning| |[turicreate](https://github.com/apple/turicreate)|8.9k|Turi Create simplifies the development of custom machine learning models.| +|[ChatterBot](https://github.com/gunthercox/ChatterBot)|8.8k|ChatterBot is a machine learning, conversational dialog engine for creating chat bots| |[stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials)|8.8k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| |[facenet](https://github.com/davidsandberg/facenet)|8.8k|Face recognition using Tensorflow| -|[ChatterBot](https://github.com/gunthercox/ChatterBot)|8.7k|ChatterBot is a machine learning, conversational dialog engine for creating chat bots| -|[state-of-the-art-result-for-machine-learning-problems](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems)|8.7k|This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep th…| -|[tensor2tensor](https://github.com/tensorflow/tensor2tensor)|8.5k|Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.| +|[tensor2tensor](https://github.com/tensorflow/tensor2tensor)|8.6k|Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.| |[caffe2](https://github.com/facebookarchive/caffe2)|8.5k|Caffe2 is a lightweight, modular, and scalable deep learning framework.| -|[EffectiveTensorflow](https://github.com/vahidk/EffectiveTensorflow)|8.4k|TensorFlow 1.x and 2.x tutorials and best practices.| -|[awesome-deep-vision](https://github.com/kjw0612/awesome-deep-vision)|8.4k|A curated list of deep learning resources for computer vision| |[DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|8.3k|Decensoring Hentai with Deep Neural Networks| |[fast-style-transfer](https://github.com/lengstrom/fast-style-transfer)|8.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| |[dopamine](https://github.com/google/dopamine)|8.2k|Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.| |[sonnet](https://github.com/deepmind/sonnet)|7.8k|TensorFlow-based neural network library| |[dlib](https://github.com/davisking/dlib)|7.7k|A toolkit for making real world machine learning and data analysis applications in C++| |[deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)|7.7k|Jupyter notebooks for the code samples of the book "Deep Learning with Python"| -|[Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)|7.6k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…| |[MLAlgorithms](https://github.com/rushter/MLAlgorithms)|7.6k|Minimal and clean examples of machine learning algorithms implementations| |[stylegan](https://github.com/NVlabs/stylegan)|7.5k|StyleGAN - Official TensorFlow Implementation| |[TensorFlow-Tutorials](https://github.com/Hvass-Labs/TensorFlow-Tutorials)|7.5k|TensorFlow Tutorials with YouTube Videos| -|[DeOldify](https://github.com/jantic/DeOldify)|7.4k|A Deep Learning based project for colorizing and restoring old images (and video!)| +|[DeOldify](https://github.com/jantic/DeOldify)|7.5k|A Deep Learning based project for colorizing and restoring old images (and video!)| |[kubeflow](https://github.com/kubeflow/kubeflow)|7.3k|Machine Learning Toolkit for Kubernetes| |[php-ml](https://github.com/php-ai/php-ml)|7.3k|PHP-ML - Machine Learning library for PHP| |[horovod](https://github.com/horovod/horovod)|7.2k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| |[pattern](https://github.com/clips/pattern)|7.1k|Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysi…| -|[conv_arithmetic](https://github.com/vdumoulin/conv_arithmetic)|7.1k|A technical report on convolution arithmetic in the context of deep learning| +|[allennlp](https://github.com/allenai/allennlp)|6.9k|An open-source NLP research library, built on PyTorch.| |[flair](https://github.com/zalandoresearch/flair)|6.9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)| -|[allennlp](https://github.com/allenai/allennlp)|6.8k|An open-source NLP research library, built on PyTorch.| -|[Learn_Machine_Learning_in_3_Months](https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months)|6.7k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube| +|[pytorch-handbook](https://github.com/zergtant/pytorch-handbook)|6.7k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行| +|[golearn](https://github.com/sjwhitworth/golearn)|6.7k|Machine Learning for Go| |[imgaug](https://github.com/aleju/imgaug)|6.7k|Image augmentation for machine learning experiments.| |[vid2vid](https://github.com/NVIDIA/vid2vid)|6.7k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| |[face-api.js](https://github.com/justadudewhohacks/face-api.js)|6.6k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js| |[tutorials](https://github.com/MorvanZhou/tutorials)|6.6k|机器学习相关教程| -|[pytorch-handbook](https://github.com/zergtant/pytorch-handbook)|6.6k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行| |[onnx](https://github.com/onnx/onnx)|6.6k|Open Neural Network Exchange| -|[golearn](https://github.com/sjwhitworth/golearn)|6.6k|Machine Learning for Go| |[mit-deep-learning-book-pdf](https://github.com/janishar/mit-deep-learning-book-pdf)|6.5k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| |[vowpal_wabbit](https://github.com/VowpalWabbit/vowpal_wabbit)|6.5k|Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as onli…| |[ml-agents](https://github.com/Unity-Technologies/ml-agents)|6.5k|Unity Machine Learning Agents Toolkit| +|[numpy-ml](https://github.com/ddbourgin/numpy-ml)|6.4k|Machine learning, in numpy| |[machinelearning](https://github.com/dotnet/machinelearning)|6.3k|ML.NET is an open source and cross-platform machine learning framework for .NET.| |[lime](https://github.com/marcotcr/lime)|6.3k|Lime: Explaining the predictions of any machine learning classifier| -|[numpy-ml](https://github.com/ddbourgin/numpy-ml)|6.3k|Machine learning, in numpy| +|[rasa](https://github.com/RasaHQ/rasa)|6.2k|💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, c…| |[maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark)|6.2k|Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.| |[tpot](https://github.com/EpistasisLab/tpot)|6.1k|A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.| -|[rasa](https://github.com/RasaHQ/rasa)|6.1k|💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, c…| |[shap](https://github.com/slundberg/shap)|6.1k|A unified approach to explain the output of any machine learning model.| |[DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow)|6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"| -|[deep-learning-drizzle](https://github.com/kmario23/deep-learning-drizzle)|5.8k|Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from…| +|[machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|5.9k|💬 Machine Learning Course with Python. Refer to the course page for step-by-step explanations.| |[autokeras](https://github.com/keras-team/autokeras)|5.8k|Accessible AutoML for deep learning.| -|[TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.8k|Simple tutorials using Google's TensorFlow Framework| -|[machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|5.8k|💬 Machine Learning Course with Python. Refer to the course page for step-by-step explanations.| -|[deep_learning_object_detection](https://github.com/hoya012/deep_learning_object_detection)|5.7k|A paper list of object detection using deep learning.| -|[netron](https://github.com/lutzroeder/netron)|5.7k|Visualizer for neural network, deep learning and machine learning models| -|[mmdetection](https://github.com/open-mmlab/mmdetection)|5.6k|Open MMLab Detection Toolbox and Benchmark| +|[netron](https://github.com/lutzroeder/netron)|5.8k|Visualizer for neural network, deep learning and machine learning models| +|[mmdetection](https://github.com/open-mmlab/mmdetection)|5.7k|Open MMLab Detection Toolbox and Benchmark| +|[facets](https://github.com/PAIR-code/facets)|5.7k|Visualizations for machine learning datasets| +|[ludwig](https://github.com/uber/ludwig)|5.6k|Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to…| |[Swift-AI](https://github.com/Swift-AI/Swift-AI)|5.6k|The Swift machine learning library.| +|[DeepFaceLab](https://github.com/iperov/DeepFaceLab)|5.6k|DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work stan…| |[mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)|5.6k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| -|[facets](https://github.com/PAIR-code/facets)|5.6k|Visualizations for machine learning datasets| -|[ludwig](https://github.com/uber/ludwig)|5.5k|Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to…| -|[DeepFaceLab](https://github.com/iperov/DeepFaceLab)|5.5k|DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work stan…| +|[pytorch-book](https://github.com/chenyuntc/pytorch-book)|5.5k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation| |[pyro](https://github.com/pyro-ppl/pyro)|5.5k|Deep universal probabilistic programming with Python and PyTorch| +|[generative-models](https://github.com/wiseodd/generative-models)|5.4k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| |[guess](https://github.com/guess-js/guess)|5.4k|Libraries & tools for enabling Machine Learning driven user-experiences on the web| |[tensorboardX](https://github.com/lanpa/tensorboardX)|5.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| -|[deep-learning-models](https://github.com/fchollet/deep-learning-models)|5.4k|Keras code and weights files for popular deep learning models.| |[tensorlayer](https://github.com/tensorlayer/tensorlayer)|5.4k|Deep Learning and Reinforcement Learning Library for Scientists| -|[pytorch-book](https://github.com/chenyuntc/pytorch-book)|5.4k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation| -|[generative-models](https://github.com/wiseodd/generative-models)|5.3k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| -|[tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)|5.3k|From the basics to slightly more interesting applications of Tensorflow| -|[DeepLearningFlappyBird](https://github.com/yenchenlin/DeepLearningFlappyBird)|5.3k|Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).| |[bullet3](https://github.com/bulletphysics/bullet3)|5.3k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| |[pytext](https://github.com/facebookresearch/pytext)|5.3k|A natural language modeling framework based on PyTorch| |[tensorflow_cookbook](https://github.com/nfmcclure/tensorflow_cookbook)|5.1k|Code for Tensorflow Machine Learning Cookbook| -|[deep-image-prior](https://github.com/DmitryUlyanov/deep-image-prior)|5k|Image restoration with neural networks but without learning.| -|[srez](https://github.com/david-gpu/srez)|5k|Image super-resolution through deep learning| +|[text_classification](https://github.com/brightmart/text_classification)|5.1k|all kinds of text classification models and more with deep learning| +|[fairseq](https://github.com/pytorch/fairseq)|5k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| |[deepo](https://github.com/ufoym/deepo)|5k|Set up deep learning environment in a single command line.| -|[text_classification](https://github.com/brightmart/text_classification)|5k|all kinds of text classification models and more with deep learning| -|[chainer](https://github.com/chainer/chainer)|5k|A flexible framework of neural networks for deep learning| +|[bert-as-service](https://github.com/hanxiao/bert-as-service)|5k|Mapping a variable-length sentence to a fixed-length vector using BERT model| |[darkflow](https://github.com/thtrieu/darkflow)|5k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def …| -|[fairseq](https://github.com/pytorch/fairseq)|4.9k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| |[faceai](https://github.com/vipstone/faceai)|4.9k|一款入门级的人脸、视频、文字检测以及识别的项目.| -|[bert-as-service](https://github.com/hanxiao/bert-as-service)|4.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model| |[cnn-text-classification-tf](https://github.com/dennybritz/cnn-text-classification-tf)|4.9k|Convolutional Neural Network for Text Classification in Tensorflow| |[seq2seq](https://github.com/google/seq2seq)|4.9k|A general-purpose encoder-decoder framework for Tensorflow| |[pretrained-models.pytorch](https://github.com/Cadene/pretrained-models.pytorch)|4.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.| @@ -148,26 +118,25 @@ Last Update: 2018.08.12 |[neural-style](https://github.com/anishathalye/neural-style)|4.8k|Neural style in TensorFlow! 🎨| |[tensorpack](https://github.com/tensorpack/tensorpack)|4.7k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility| |[keras-js](https://github.com/transcranial/keras-js)|4.6k|Run Keras models in the browser, with GPU support using WebGL| +|[python-machine-learning-book-2nd-edition](https://github.com/rasbt/python-machine-learning-book-2nd-edition)|4.6k|The "Python Machine Learning (2nd edition)" book code repository and info resource| |[aerosolve](https://github.com/airbnb/aerosolve)|4.6k|A machine learning package built for humans.| |[TopDeepLearning](https://github.com/aymericdamien/TopDeepLearning)|4.5k|A list of popular github projects related to deep learning| -|[python-machine-learning-book-2nd-edition](https://github.com/rasbt/python-machine-learning-book-2nd-edition)|4.5k|The "Python Machine Learning (2nd edition)" book code repository and info resource| |[swift](https://github.com/tensorflow/swift)|4.5k|Swift for TensorFlow Project Home Page| |[TensorFlow-World](https://github.com/astorfi/TensorFlow-World)|4.4k|🌎 Simple and ready-to-use tutorials for TensorFlow| |[TensorFlow-Book](https://github.com/BinRoot/TensorFlow-Book)|4.3k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.| |[xlnet](https://github.com/zihangdai/xlnet)|4.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| |[edward](https://github.com/blei-lab/edward)|4.3k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| |[alluxio](https://github.com/Alluxio/alluxio)|4.3k|Alluxio, data orchestration for analytics and machine learning in the cloud| +|[keras-rl](https://github.com/keras-rl/keras-rl)|4.1k|Deep Reinforcement Learning for Keras.| |[stargan](https://github.com/yunjey/stargan)|4k|Official PyTorch Implementation of StarGAN - CVPR 2018| -|[keras-rl](https://github.com/keras-rl/keras-rl)|4k|Deep Reinforcement Learning for Keras.| +|[sketch-code](https://github.com/ashnkumar/sketch-code)|4k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| +|[PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|3.9k|PyTorch implementations of Generative Adversarial Networks.| |[tensorspace](https://github.com/tensorspace-team/tensorspace)|3.9k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained dee…| +|[nlp-tutorial](https://github.com/graykode/nlp-tutorial)|3.9k|Natural Language Processing Tutorial for Deep Learning Researchers| |[MMdnn](https://github.com/microsoft/MMdnn)|3.9k|MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion a…| -|[sketch-code](https://github.com/ashnkumar/sketch-code)|3.9k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| +|[photoprism](https://github.com/photoprism/photoprism)|3.9k|Personal Photo Management powered by Go and Google TensorFlow| |[faster-rcnn.pytorch](https://github.com/jwyang/faster-rcnn.pytorch)|3.9k|A faster pytorch implementation of faster r-cnn| -|[PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|3.8k|PyTorch implementations of Generative Adversarial Networks.| -|[nlp-tutorial](https://github.com/graykode/nlp-tutorial)|3.8k|Natural Language Processing Tutorial for Deep Learning Researchers| |[pix2pixHD](https://github.com/NVIDIA/pix2pixHD)|3.8k|Synthesizing and manipulating 2048x1024 images with conditional GANs| -|[photoprism](https://github.com/photoprism/photoprism)|3.8k|Personal Photo Management powered by Go and Google TensorFlow| -|[the-incredible-pytorch](https://github.com/ritchieng/the-incredible-pytorch)|3.8k|The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.| |[pipeline](https://github.com/PipelineAI/pipeline)|3.7k|PipelineAI: Real-Time Enterprise AI Platform| |[serving](https://github.com/tensorflow/serving)|3.7k|A flexible, high-performance serving system for machine learning models| |[PySyft](https://github.com/OpenMined/PySyft)|3.7k|A library for encrypted, privacy preserving deep learning| @@ -182,34 +151,26 @@ Last Update: 2018.08.12 |[SSD-Tensorflow](https://github.com/balancap/SSD-Tensorflow)|3.3k|Single Shot MultiBox Detector in TensorFlow| |[Practical_RL](https://github.com/yandexdataschool/Practical_RL)|3.3k|A course in reinforcement learning in the wild| |[tensorflow-generative-model-collections](https://github.com/hwalsuklee/tensorflow-generative-model-collections)|3.3k|Collection of generative models in Tensorflow| -|[OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py)|3.3k|Open Source Neural Machine Translation in PyTorch| |[TensorFlowOnSpark](https://github.com/yahoo/TensorFlowOnSpark)|3.2k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| |[hands-on-ml-zh](https://github.com/apachecn/hands-on-ml-zh)|3.1k|📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】| |[Learning-to-See-in-the-Dark](https://github.com/cchen156/Learning-to-See-in-the-Dark)|3.1k|Learning to See in the Dark. CVPR 2018| -|[face-alignment](https://github.com/1adrianb/face-alignment)|3k|🔥 2D and 3D Face alignment library build using pytorch| -|[pytorch-examples](https://github.com/jcjohnson/pytorch-examples)|3k|Simple examples to introduce PyTorch| -|[attention-is-all-you-need-pytorch](https://github.com/jadore801120/attention-is-all-you-need-pytorch)|3k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| -|[AlphaPose](https://github.com/MVIG-SJTU/AlphaPose)|3k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| -|[Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|3k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| +|[Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|3.1k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| |[Tensorflow-Project-Template](https://github.com/MrGemy95/Tensorflow-Project-Template)|3k|A best practice for tensorflow project template architecture.| |[tf-faster-rcnn](https://github.com/endernewton/tf-faster-rcnn)|2.9k|Tensorflow Faster RCNN for Object Detection| |[vespa](https://github.com/vespa-engine/vespa)|2.9k|Vespa is an engine for low-latency computation over large data sets.| |[textgenrnn](https://github.com/minimaxir/textgenrnn)|2.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| +|[SmartCropper](https://github.com/pqpo/SmartCropper)|2.9k|🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自…| |[FastMaskRCNN](https://github.com/CharlesShang/FastMaskRCNN)|2.9k|Mask RCNN in TensorFlow| |[lucid](https://github.com/tensorflow/lucid)|2.8k|A collection of infrastructure and tools for research in neural network interpretability.| -|[awesome-project-ideas](https://github.com/NirantK/awesome-project-ideas)|2.8k|Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas| |[easy-tensorflow](https://github.com/easy-tensorflow/easy-tensorflow)|2.8k|Simple and comprehensive tutorials in TensorFlow| |[adanet](https://github.com/tensorflow/adanet)|2.8k|Fast and flexible AutoML with learning guarantees.| +|[pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)|2.8k|Create HTML profiling reports from pandas DataFrame objects| |[handong1587.github.io](https://github.com/handong1587/handong1587.github.io)|2.7k|| |[tensorflow_poems](https://github.com/jinfagang/tensorflow_poems)|2.7k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！| -|[BERT-pytorch](https://github.com/codertimo/BERT-pytorch)|2.7k|Google AI 2018 BERT pytorch implementation| |[DeepLearning.ai-Summary](https://github.com/mbadry1/DeepLearning.ai-Summary)|2.7k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…| |[DeepVideoAnalytics](https://github.com/AKSHAYUBHAT/DeepVideoAnalytics)|2.7k|A distributed visual search and visual data analytics platform.| |[Tensorflow-Cookbook](https://github.com/taki0112/Tensorflow-Cookbook)|2.7k|Simple Tensorflow Cookbook for easy-to-use| -|[PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll)|2.7k|Simple PyTorch Tutorials Zero to ALL!| -|[60_Days_RL_Challenge](https://github.com/andri27-ts/60_Days_RL_Challenge)|2.7k|Learn Deep Reinforcement Learning in Depth in 60 days| |[DeepLearning](https://github.com/yusugomori/DeepLearning)|2.7k|Deep Learning (Python, C, C++, Java, Scala, Go)| -|[pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)|2.7k|Create HTML profiling reports from pandas DataFrame objects| |[TensorFlowSharp](https://github.com/migueldeicaza/TensorFlowSharp)|2.7k|TensorFlow API for .NET languages| |[gorgonia](https://github.com/gorgonia/gorgonia)|2.7k|Gorgonia is a library that helps facilitate machine learning in Go.| |[pythia](https://github.com/facebookresearch/pythia)|2.7k|A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)| @@ -218,21 +179,18 @@ Last Update: 2018.08.12 |[dgl](https://github.com/dmlc/dgl)|2.6k|Python package built to ease deep learning on graph, on top of existing DL frameworks.| |[deep-learning-keras-tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow)|2.6k|Introduction to Deep Neural Networks with Keras and Tensorflow| |[deep-learning-book](https://github.com/rasbt/deep-learning-book)|2.6k|Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …| -|[daily-paper-computer-vision](https://github.com/amusi/daily-paper-computer-vision)|2.5k|记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文| +|[makegirlsmoe_web](https://github.com/makegirlsmoe/makegirlsmoe_web)|2.6k|Create Anime Characters with MakeGirlsMoe| |[tf-pose-estimation](https://github.com/ildoonet/tf-pose-estimation)|2.5k|Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.| -|[NakedTensor](https://github.com/jostmey/NakedTensor)|2.5k|Bare bone examples of machine learning in TensorFlow| |[gocv](https://github.com/hybridgroup/gocv)|2.5k|Go package for computer vision using OpenCV 4 and beyond.| +|[NakedTensor](https://github.com/jostmey/NakedTensor)|2.5k|Bare bone examples of machine learning in TensorFlow| |[Automatic_Speech_Recognition](https://github.com/zzw922cn/Automatic_Speech_Recognition)|2.5k|End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow| |[DeepQA](https://github.com/Conchylicultor/DeepQA)|2.5k|My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot| -|[makegirlsmoe_web](https://github.com/makegirlsmoe/makegirlsmoe_web)|2.5k|Create Anime Characters with MakeGirlsMoe| |[machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)|2.4k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| |[text-classification-cnn-rnn](https://github.com/gaussic/text-classification-cnn-rnn)|2.4k|CNN-RNN中文文本分类，基于TensorFlow| -|[MachineLearning](https://github.com/allmachinelearning/MachineLearning)|2.4k|Machine learning resources| |[tensorforce](https://github.com/tensorforce/tensorforce)|2.4k|Tensorforce: a TensorFlow library for applied reinforcement learning| |[HyperLPR](https://github.com/zeusees/HyperLPR)|2.4k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| |[tencent-ml-images](https://github.com/Tencent/tencent-ml-images)|2.4k|Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet| |[deepjazz](https://github.com/jisungk/deepjazz)|2.4k|Deep learning driven jazz generation using Keras & Theano!| -|[benchmark_results](https://github.com/foolwood/benchmark_results)|2.4k|Visual Tracking Paper List| |[LSTM-Human-Activity-Recognition](https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition)|2.3k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo…| |[neural-style-tf](https://github.com/cysmith/neural-style-tf)|2.3k|TensorFlow (Python API) implementation of Neural Style| |[tensorwatch](https://github.com/microsoft/tensorwatch)|2.3k|Debugging, monitoring and visualization for Python Machine Learning and Data Science| @@ -249,8 +207,6 @@ Last Update: 2018.08.12 |[cvat](https://github.com/opencv/cvat)|2.3k|Powerful and efficient Computer Vision Annotation Tool (CVAT)| |[probability](https://github.com/tensorflow/probability)|2.3k|Probabilistic reasoning and statistical analysis in TensorFlow| |[reinforcement-learning](https://github.com/rlcode/reinforcement-learning)|2.3k|Minimal and Clean Reinforcement Learning Examples| -|[deep-learning-model-convertor](https://github.com/ysh329/deep-learning-model-convertor)|2.2k|The convertor/conversion of deep learning models for different deep learning frameworks/softwares.| -|[tensorflow-internals](https://github.com/horance-liu/tensorflow-internals)|2.2k|It is open source ebook about TensorFlow kernel and implementation mechanism.| |[darts](https://github.com/quark0/darts)|2.2k|Differentiable architecture search for convolutional and recurrent networks| |[luminoth](https://github.com/tryolabs/luminoth)|2.2k|Deep Learning toolkit for Computer Vision| |[OpenNMT](https://github.com/OpenNMT/OpenNMT)|2.2k|Open Source Neural Machine Translation in Torch| @@ -258,19 +214,18 @@ Last Update: 2018.08.12 |[deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch)|2.1k|Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegre…| |[DeepNLP-models-Pytorch](https://github.com/DSKSD/DeepNLP-models-Pytorch)|2.1k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)| |[jetson-inference](https://github.com/dusty-nv/jetson-inference)|2.1k|Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.| +|[yolov3](https://github.com/ultralytics/yolov3)|2.1k|YOLOv3 in PyTorch > ONNX > CoreML > iOS| |[colorization](https://github.com/richzhang/colorization)|2.1k|Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.| |[pytorch-semseg](https://github.com/meetshah1995/pytorch-semseg)|2.1k|Semantic Segmentation Architectures Implemented in PyTorch| |[ignite](https://github.com/pytorch/ignite)|2.1k|High-level library to help with training neural networks in PyTorch| |[pointnet](https://github.com/charlesq34/pointnet)|2.1k|PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation| |[polyaxon](https://github.com/polyaxon/polyaxon)|2.1k|A platform for reproducible and scalable machine learning and deep learning on kubernetes| |[Faster-RCNN_TF](https://github.com/smallcorgi/Faster-RCNN_TF)|2.1k|Faster-RCNN in Tensorflow| -|[telegram-list](https://github.com/goq/telegram-list)|2k|List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для пр…| |[3DDFA](https://github.com/cleardusk/3DDFA)|2k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| |[interactive-deep-colorization](https://github.com/junyanz/interactive-deep-colorization)|2k|Deep learning software for colorizing black and white images with a few clicks.| |[tensorflow-on-raspberry-pi](https://github.com/samjabrahams/tensorflow-on-raspberry-pi)|2k|TensorFlow for Raspberry Pi| |[nlp-architect](https://github.com/NervanaSystems/nlp-architect)|2k|NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techn…| -|[yolov3](https://github.com/ultralytics/yolov3)|2k|YOLOv3 in PyTorch > ONNX > CoreML > iOS| -|[awesome-deeplearning-resources](https://github.com/endymecy/awesome-deeplearning-resources)|2k|Deep Learning and deep reinforcement learning research papers and some codes| +|[Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials)|2k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| |[kcws](https://github.com/koth/kcws)|2k|Deep Learning Chinese Word Segment| |[EAST](https://github.com/argman/EAST)|1.9k|A tensorflow implementation of EAST text detector| |[Neural-Photo-Editor](https://github.com/ajbrock/Neural-Photo-Editor)|1.9k|A simple interface for editing natural photos with generative neural networks.| @@ -279,19 +234,15 @@ Last Update: 2018.08.12 |[rust](https://github.com/tensorflow/rust)|1.9k|Rust language bindings for TensorFlow| |[DeepRL-Agents](https://github.com/awjuliani/DeepRL-Agents)|1.9k|A set of Deep Reinforcement Learning Agents implemented in Tensorflow.| |[tensorflow-build](https://github.com/lakshayg/tensorflow-build)|1.9k|TensorFlow binaries supporting AVX, FMA, SSE| -|[papers](https://github.com/aleju/papers)|1.9k|Summaries of machine learning papers| |[docs](https://github.com/tensorflow/docs)|1.9k|TensorFlow documentation| |[TensorFlow-Tutorials](https://github.com/golbin/TensorFlow-Tutorials)|1.9k|텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다| |[deepdetect](https://github.com/jolibrain/deepdetect)|1.9k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE| -|[tensorflow-windows-wheel](https://github.com/fo40225/tensorflow-windows-wheel)|1.9k|Tensorflow prebuilt binary for Windows| -|[Deep-Learning-for-Recommendation-Systems](https://github.com/robi56/Deep-Learning-for-Recommendation-Systems)|1.9k|This repository contains Deep Learning based articles , paper and repositories for Recommender Systems| +|[text](https://github.com/pytorch/text)|1.9k|Data loaders and abstractions for text and NLP| |[srgan](https://github.com/tensorlayer/srgan)|1.9k|Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network| |[tensorflow-speech-recognition](https://github.com/pannous/tensorflow-speech-recognition)|1.9k|🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks| |[decaNLP](https://github.com/salesforce/decaNLP)|1.9k|The Natural Language Decathlon: A Multitask Challenge for NLP| -|[Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials)|1.9k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| |[tangent](https://github.com/google/tangent)|1.9k|Source-to-Source Debuggable Derivatives in Pure Python| |[DeepCTR](https://github.com/shenweichen/DeepCTR)|1.8k|Easy-to-use,Modular and Extendible package of deep-learning based CTR models.| -|[text](https://github.com/pytorch/text)|1.8k|Data loaders and abstractions for text and NLP| |[TensorFlow-Roadmap](https://github.com/astorfi/TensorFlow-Roadmap)|1.8k|📡 Organized & Useful Resources about Deep Learning with TensorFlow| |[Super-SloMo](https://github.com/avinashpaliwal/Super-SloMo)|1.8k|PyTorch implementation of Super SloMo by Jiang et al.| |[Deep_reinforcement_learning_Course](https://github.com/simoninithomas/Deep_reinforcement_learning_Course)|1.8k|Implementations from the free course Deep Reinforcement Learning with Tensorflow| @@ -300,7 +251,6 @@ Last Update: 2018.08.12 |[seq2seq-couplet](https://github.com/wb14123/seq2seq-couplet)|1.8k|Play couplet with seq2seq model. 用深度学习对对联。| |[gluon-nlp](https://github.com/dmlc/gluon-nlp)|1.7k|NLP made easy| |[keras-attention-mechanism](https://github.com/philipperemy/keras-attention-mechanism)|1.7k|Attention mechanism Implementation for Keras.| -|[awesome-production-machine-learning](https://github.com/EthicalML/awesome-production-machine-learning)|1.7k|A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning| |[Ad-papers](https://github.com/wzhe06/Ad-papers)|1.7k|Papers on Computational Advertising| |[deep-high-resolution-net.pytorch](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch)|1.7k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…| |[benchm-ml](https://github.com/szilard/benchm-ml)|1.7k|A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…| @@ -311,27 +261,25 @@ Last Update: 2018.08.12 |[deepchem](https://github.com/deepchem/deepchem)|1.7k|Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology| |[zhusuan](https://github.com/thu-ml/zhusuan)|1.7k|A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow| |[Bender](https://github.com/xmartlabs/Bender)|1.7k|Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.| +|[DALI](https://github.com/NVIDIA/DALI)|1.7k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…| |[tensorflow_template_application](https://github.com/tobegit3hub/tensorflow_template_application)|1.7k|TensorFlow template application for deep learning| |[AI-Blocks](https://github.com/MrNothing/AI-Blocks)|1.7k|A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!| |[DeepLearn](https://github.com/GauravBh1010tt/DeepLearn)|1.7k|Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.| |[ASRT_SpeechRecognition](https://github.com/nl8590687/ASRT_SpeechRecognition)|1.7k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统| |[Semantic-Segmentation-Suite](https://github.com/GeorgeSeif/Semantic-Segmentation-Suite)|1.7k|Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!| |[ai-deadlines](https://github.com/abhshkdz/ai-deadlines)|1.7k|⏰ AI conference deadline countdowns| +|[pytorch-lightning](https://github.com/williamFalcon/pytorch-lightning)|1.7k|Rapid research framework for PyTorch. The researcher's version of Keras| |[sru](https://github.com/taolei87/sru)|1.7k|Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)| |[Porcupine](https://github.com/Picovoice/Porcupine)|1.7k|On-device wake word detection powered by deep learning.| |[AlphaZero_Gomoku](https://github.com/junxiaosong/AlphaZero_Gomoku)|1.7k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| |[MUNIT](https://github.com/NVlabs/MUNIT)|1.7k|Multimodal Unsupervised Image-to-Image Translation| |[mmlspark](https://github.com/Azure/mmlspark)|1.6k|Microsoft Machine Learning for Apache Spark| |[transparent_latent_gan](https://github.com/SummitKwan/transparent_latent_gan)|1.6k|Use supervised learning to illuminate the latent space of GAN for controlled generation and edit| -|[Meta-Learning-Papers](https://github.com/floodsung/Meta-Learning-Papers)|1.6k|Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning| |[Flux.jl](https://github.com/FluxML/Flux.jl)|1.6k|Relax! Flux is the ML library that doesn't make you tensor| |[deepschool.io](https://github.com/sachinruk/deepschool.io)|1.6k|Deep Learning tutorials in jupyter notebooks.| |[tacotron](https://github.com/keithito/tacotron)|1.6k|A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)| |[VoTT](https://github.com/microsoft/VoTT)|1.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.| |[euler](https://github.com/alibaba/euler)|1.6k|A distributed graph deep learning framework.| -|[DALI](https://github.com/NVIDIA/DALI)|1.6k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…| -|[DeepInterests](https://github.com/Honlan/DeepInterests)|1.6k|深度有趣| -|[pytorch-lightning](https://github.com/williamFalcon/pytorch-lightning)|1.6k|Rapid research framework for PyTorch. The researcher's version of Keras| |[nnvm](https://github.com/dmlc/nnvm)|1.6k|move to https://github.com/dmlc/tvm/| |[dm_control](https://github.com/deepmind/dm_control)|1.6k|The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo ph…| |[pytorch-a2c-ppo-acktr-gail](https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail)|1.5k|PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region met…| @@ -359,29 +307,24 @@ Last Update: 2018.08.12 |[coach](https://github.com/NervanaSystems/coach)|1.4k|Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learnin…| |[AutonomousDrivingCookbook](https://github.com/microsoft/AutonomousDrivingCookbook)|1.4k|Scenarios, tutorials and demos for Autonomous Driving| |[human-pose-estimation.pytorch](https://github.com/microsoft/human-pose-estimation.pytorch)|1.4k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| -|[iOS_ML](https://github.com/alexsosn/iOS_ML)|1.4k|List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.| |[GDLnotes](https://github.com/ahangchen/GDLnotes)|1.4k|Google Deep Learning Notes（TensorFlow教程）| |[mathAI](https://github.com/Roujack/mathAI)|1.4k|一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.| |[ml-cheatsheet](https://github.com/bfortuner/ml-cheatsheet)|1.4k|Machine learning cheatsheet| |[zi2zi](https://github.com/kaonashi-tyc/zi2zi)|1.4k|Learning Chinese Character style with conditional GAN| -|[AI-Job-Notes](https://github.com/amusi/AI-Job-Notes)|1.4k|AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）| |[tensorflow-yolov3](https://github.com/YunYang1994/tensorflow-yolov3)|1.4k|🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset| -|[TensorKart](https://github.com/kevinhughes27/TensorKart)|1.4k|self-driving MarioKart with TensorFlow| |[TensorFlow-2.x-Tutorials](https://github.com/dragen1860/TensorFlow-2.x-Tutorials)|1.4k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…| |[seldon-server](https://github.com/SeldonIO/seldon-server)|1.4k|Machine Learning Platform and Recommendation Engine built on Kubernetes| -|[turkce-yapay-zeka-kaynaklari](https://github.com/deeplearningturkiye/turkce-yapay-zeka-kaynaklari)|1.4k|Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.| |[gandissect](https://github.com/CSAILVision/gandissect)|1.4k|Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/| -|[awesome-deep-learning-music](https://github.com/ybayle/awesome-deep-learning-music)|1.4k|List of articles related to deep learning applied to music| |[tinyflow](https://github.com/tqchen/tinyflow)|1.4k|Tutorial code on how to build your own Deep Learning System in 2k Lines| |[zh-NER-TF](https://github.com/Determined22/zh-NER-TF)|1.4k|A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)| |[UNIT](https://github.com/mingyuliutw/UNIT)|1.4k|Unsupervised Image-to-Image Translation| |[PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP)|1.4k|Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)| |[DeblurGAN](https://github.com/KupynOrest/DeblurGAN)|1.4k|Image Deblurring using Generative Adversarial Networks| |[NeuroNER](https://github.com/Franck-Dernoncourt/NeuroNER)|1.3k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.| +|[tf_unet](https://github.com/jakeret/tf_unet)|1.3k|Generic U-Net Tensorflow implementation for image segmentation| |[torchsample](https://github.com/ncullen93/torchsample)|1.3k|High-Level Training, Data Augmentation, and Utilities for Pytorch| |[models](https://github.com/onnx/models)|1.3k|A collection of pre-trained, state-of-the-art models in the ONNX format| |[CADL](https://github.com/pkmital/CADL)|1.3k|Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow…| -|[tensorflow-1.4-billion-password-analysis](https://github.com/philipperemy/tensorflow-1.4-billion-password-analysis)|1.3k|Deep Learning model to analyze a large corpus of clear text passwords.| |[CoreML-in-ARKit](https://github.com/hanleyweng/CoreML-in-ARKit)|1.3k|Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit…| |[DeepRecommender](https://github.com/NVIDIA/DeepRecommender)|1.3k|Deep learning for recommender systems| |[DeepFace](https://github.com/RiweiChen/DeepFace)|1.3k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have…| diff --git a/scripts/generate_stats.py b/scripts/generate_stats.py index ed3e705..735dc6b 100644 --- a/scripts/generate_stats.py +++ b/scripts/generate_stats.py @@ -26,12 +26,15 @@ def extract_search_info(html): if 'k' in stars: stars = float(stars.replace('k', '')) * 1000 stars = int(stars) + lang = c.find('span', {'itemprop': "programmingLanguage"}) + lang = lang.text.strip() if lang else lang info.append({ "url": "https://github.com" + c.find('a', {"class": "v-align-middle"}).attrs["href"], "title": c.find('a', {"class": "v-align-middle"}).text.strip(), "desc": c.find('p', {"class": "col-12"}).text.strip(), "stars_unparsed": stars_unparsed, - "stars": stars + "stars": stars, + "lang": lang }) except Exception as e: print e @@ -63,12 +66,15 @@ def extract_topic_info(html): if 'k' in stars: stars = float(stars.replace('k', '')) * 1000 stars = int(stars) + lang = c.find('span', {'itemprop': "programmingLanguage"}) + lang = lang.text.strip() if lang else lang info.append({ "url": "https://github.com" + c.find('h3').find('a').attrs["href"], "title": c.find('h3').find('a').text.strip().replace(" / ", "/"), "desc": c.find('div', {"class": "mb-3"}).text.strip(), "stars_unparsed": stars_unparsed, - "stars": stars + "stars": stars, + "lang": lang }) except Exception as e: print e @@ -77,7 +83,7 @@ def extract_topic_info(html): def parse_results(results): results = {v['url']:v for v in results}.values() results = sorted(results, key=lambda x: x['stars'], reverse=True) - return [r for r in results if r['stars'] >= 1000] + return [r for r in results if r['stars'] >= 1000 and (r['lang'] and r['lang'] != "TeX")] def build_table(results_list): From ceaa357ce1e93c05e513fe98cf0ca828e3158f6f Mon Sep 17 00:00:00 2001 From: aymericdamien Date: Wed, 14 Aug 2019 23:08:12 -0700 Subject: [PATCH 06/10] fix date --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a4915f4..c06e785 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # Top Deep Learning Projects A list of popular github projects related to deep learning (ranked by stars). -Last Update: 2018.08.12 +Last Update: 2018.08.14 | Project Name | Stars | Description | | ------- | ------ | ------ | From fbe8d7a66f8f83632b3a999c17e65d8fb127ed40 Mon Sep 17 00:00:00 2001 From: aymericdamien Date: Thu, 15 Aug 2019 22:40:09 -0700 Subject: [PATCH 07/10] update list --- README.md | 40 +++++++++++++++++++++++++++------------- 1 file changed, 27 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index c06e785..1b8f344 100644 --- a/README.md +++ b/README.md @@ -1,19 +1,19 @@ # Top Deep Learning Projects A list of popular github projects related to deep learning (ranked by stars). -Last Update: 2018.08.14 +Last Update: 2019.08.15 | Project Name | Stars | Description | | ------- | ------ | ------ | |[tensorflow](https://github.com/tensorflow/tensorflow)|133k|An Open Source Machine Learning Framework for Everyone| |[models](https://github.com/tensorflow/models)|56.5k|Models and examples built with TensorFlow| -|[keras](https://github.com/keras-team/keras)|43.4k|Deep Learning for humans| +|[keras](https://github.com/keras-team/keras)|43.5k|Deep Learning for humans| |[scikit-learn](https://github.com/scikit-learn/scikit-learn)|36.6k|scikit-learn: machine learning in Python| |[TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|33.4k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| |[pytorch](https://github.com/pytorch/pytorch)|30.8k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| |[caffe](https://github.com/BVLC/caffe)|28.8k|Caffe: a fast open framework for deep learning.| |[Deep-Learning-Papers-Reading-Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)|23.7k|Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!| -|[practicalAI](https://github.com/GokuMohandas/practicalAI)|19.5k|📚 A practical approach to machine learning.| +|[practicalAI](https://github.com/GokuMohandas/practicalAI)|19.6k|📚 A practical approach to machine learning.| |[incubator-mxnet](https://github.com/apache/incubator-mxnet)|17.5k|Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;…| |[bert](https://github.com/google-research/bert)|17.4k|TensorFlow code and pre-trained models for BERT| |[CNTK](https://github.com/microsoft/CNTK)|16.3k|Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit| @@ -25,11 +25,11 @@ Last Update: 2018.08.14 |[TensorFlow-Course](https://github.com/machinelearningmindset/TensorFlow-Course)|12.9k|Simple and ready-to-use tutorials for TensorFlow| |[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|12.9k|PyTorch Tutorial for Deep Learning Researchers| |[homemade-machine-learning](https://github.com/trekhleb/homemade-machine-learning)|12.8k|🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained| -|[reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|12.1k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| +|[reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|12.2k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| |[predictionio](https://github.com/apache/predictionio)|12k|PredictionIO, a machine learning server for developers and ML engineers.| -|[ML-From-Scratch](https://github.com/eriklindernoren/ML-From-Scratch)|11.8k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| +|[ML-From-Scratch](https://github.com/eriklindernoren/ML-From-Scratch)|11.9k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| |[Virgilio](https://github.com/virgili0/Virgilio)|11.6k|Your new Mentor for Data Science E-Learning.| -|[funNLP](https://github.com/fighting41love/funNLP)|11.5k|新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增…| +|[funNLP](https://github.com/fighting41love/funNLP)|11.6k|新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增…| |[deeplearning4j](https://github.com/eclipse/deeplearning4j)|11.1k|Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark| |[DeepSpeech](https://github.com/mozilla/DeepSpeech)|10.9k|A TensorFlow implementation of Baidu's DeepSpeech architecture| |[pytorch-transformers](https://github.com/huggingface/pytorch-transformers)|10.8k|👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)| @@ -45,7 +45,6 @@ Last Update: 2018.08.14 |[tflearn](https://github.com/tflearn/tflearn)|9.2k|Deep learning library featuring a higher-level API for TensorFlow.| |[nndl.github.io](https://github.com/nndl/nndl.github.io)|9.1k|《神经网络与深度学习》 Neural Network and Deep Learning| |[deeplearning-models](https://github.com/rasbt/deeplearning-models)|9k|A collection of various deep learning architectures, models, and tips| -|[turicreate](https://github.com/apple/turicreate)|8.9k|Turi Create simplifies the development of custom machine learning models.| |[ChatterBot](https://github.com/gunthercox/ChatterBot)|8.8k|ChatterBot is a machine learning, conversational dialog engine for creating chat bots| |[stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials)|8.8k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| |[facenet](https://github.com/davidsandberg/facenet)|8.8k|Face recognition using Tensorflow| @@ -54,13 +53,13 @@ Last Update: 2018.08.14 |[DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|8.3k|Decensoring Hentai with Deep Neural Networks| |[fast-style-transfer](https://github.com/lengstrom/fast-style-transfer)|8.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| |[dopamine](https://github.com/google/dopamine)|8.2k|Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.| +|[dlib](https://github.com/davisking/dlib)|7.8k|A toolkit for making real world machine learning and data analysis applications in C++| |[sonnet](https://github.com/deepmind/sonnet)|7.8k|TensorFlow-based neural network library| -|[dlib](https://github.com/davisking/dlib)|7.7k|A toolkit for making real world machine learning and data analysis applications in C++| |[deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)|7.7k|Jupyter notebooks for the code samples of the book "Deep Learning with Python"| |[MLAlgorithms](https://github.com/rushter/MLAlgorithms)|7.6k|Minimal and clean examples of machine learning algorithms implementations| +|[DeOldify](https://github.com/jantic/DeOldify)|7.6k|A Deep Learning based project for colorizing and restoring old images (and video!)| |[stylegan](https://github.com/NVlabs/stylegan)|7.5k|StyleGAN - Official TensorFlow Implementation| |[TensorFlow-Tutorials](https://github.com/Hvass-Labs/TensorFlow-Tutorials)|7.5k|TensorFlow Tutorials with YouTube Videos| -|[DeOldify](https://github.com/jantic/DeOldify)|7.5k|A Deep Learning based project for colorizing and restoring old images (and video!)| |[kubeflow](https://github.com/kubeflow/kubeflow)|7.3k|Machine Learning Toolkit for Kubernetes| |[php-ml](https://github.com/php-ai/php-ml)|7.3k|PHP-ML - Machine Learning library for PHP| |[horovod](https://github.com/horovod/horovod)|7.2k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| @@ -71,10 +70,10 @@ Last Update: 2018.08.14 |[golearn](https://github.com/sjwhitworth/golearn)|6.7k|Machine Learning for Go| |[imgaug](https://github.com/aleju/imgaug)|6.7k|Image augmentation for machine learning experiments.| |[vid2vid](https://github.com/NVIDIA/vid2vid)|6.7k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| +|[mit-deep-learning-book-pdf](https://github.com/janishar/mit-deep-learning-book-pdf)|6.6k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| |[face-api.js](https://github.com/justadudewhohacks/face-api.js)|6.6k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js| |[tutorials](https://github.com/MorvanZhou/tutorials)|6.6k|机器学习相关教程| |[onnx](https://github.com/onnx/onnx)|6.6k|Open Neural Network Exchange| -|[mit-deep-learning-book-pdf](https://github.com/janishar/mit-deep-learning-book-pdf)|6.5k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| |[vowpal_wabbit](https://github.com/VowpalWabbit/vowpal_wabbit)|6.5k|Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as onli…| |[ml-agents](https://github.com/Unity-Technologies/ml-agents)|6.5k|Unity Machine Learning Agents Toolkit| |[numpy-ml](https://github.com/ddbourgin/numpy-ml)|6.4k|Machine learning, in numpy| @@ -87,6 +86,7 @@ Last Update: 2018.08.14 |[DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow)|6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"| |[machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|5.9k|💬 Machine Learning Course with Python. Refer to the course page for step-by-step explanations.| |[autokeras](https://github.com/keras-team/autokeras)|5.8k|Accessible AutoML for deep learning.| +|[TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.8k|Simple tutorials using Google's TensorFlow Framework| |[netron](https://github.com/lutzroeder/netron)|5.8k|Visualizer for neural network, deep learning and machine learning models| |[mmdetection](https://github.com/open-mmlab/mmdetection)|5.7k|Open MMLab Detection Toolbox and Benchmark| |[facets](https://github.com/PAIR-code/facets)|5.7k|Visualizations for machine learning datasets| @@ -94,19 +94,25 @@ Last Update: 2018.08.14 |[Swift-AI](https://github.com/Swift-AI/Swift-AI)|5.6k|The Swift machine learning library.| |[DeepFaceLab](https://github.com/iperov/DeepFaceLab)|5.6k|DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work stan…| |[mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)|5.6k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| +|[tensorboardX](https://github.com/lanpa/tensorboardX)|5.5k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| |[pytorch-book](https://github.com/chenyuntc/pytorch-book)|5.5k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation| |[pyro](https://github.com/pyro-ppl/pyro)|5.5k|Deep universal probabilistic programming with Python and PyTorch| |[generative-models](https://github.com/wiseodd/generative-models)|5.4k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| |[guess](https://github.com/guess-js/guess)|5.4k|Libraries & tools for enabling Machine Learning driven user-experiences on the web| -|[tensorboardX](https://github.com/lanpa/tensorboardX)|5.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| +|[tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)|5.4k|From the basics to slightly more interesting applications of Tensorflow| +|[deep-learning-models](https://github.com/fchollet/deep-learning-models)|5.4k|Keras code and weights files for popular deep learning models.| |[tensorlayer](https://github.com/tensorlayer/tensorlayer)|5.4k|Deep Learning and Reinforcement Learning Library for Scientists| +|[DeepLearningFlappyBird](https://github.com/yenchenlin/DeepLearningFlappyBird)|5.3k|Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).| |[bullet3](https://github.com/bulletphysics/bullet3)|5.3k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| |[pytext](https://github.com/facebookresearch/pytext)|5.3k|A natural language modeling framework based on PyTorch| |[tensorflow_cookbook](https://github.com/nfmcclure/tensorflow_cookbook)|5.1k|Code for Tensorflow Machine Learning Cookbook| |[text_classification](https://github.com/brightmart/text_classification)|5.1k|all kinds of text classification models and more with deep learning| +|[deep-image-prior](https://github.com/DmitryUlyanov/deep-image-prior)|5k|Image restoration with neural networks but without learning.| +|[srez](https://github.com/david-gpu/srez)|5k|Image super-resolution through deep learning| |[fairseq](https://github.com/pytorch/fairseq)|5k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| |[deepo](https://github.com/ufoym/deepo)|5k|Set up deep learning environment in a single command line.| |[bert-as-service](https://github.com/hanxiao/bert-as-service)|5k|Mapping a variable-length sentence to a fixed-length vector using BERT model| +|[chainer](https://github.com/chainer/chainer)|5k|A flexible framework of neural networks for deep learning| |[darkflow](https://github.com/thtrieu/darkflow)|5k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def …| |[faceai](https://github.com/vipstone/faceai)|4.9k|一款入门级的人脸、视频、文字检测以及识别的项目.| |[cnn-text-classification-tf](https://github.com/dennybritz/cnn-text-classification-tf)|4.9k|Convolutional Neural Network for Text Classification in Tensorflow| @@ -127,8 +133,8 @@ Last Update: 2018.08.14 |[xlnet](https://github.com/zihangdai/xlnet)|4.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| |[edward](https://github.com/blei-lab/edward)|4.3k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| |[alluxio](https://github.com/Alluxio/alluxio)|4.3k|Alluxio, data orchestration for analytics and machine learning in the cloud| +|[stargan](https://github.com/yunjey/stargan)|4.1k|Official PyTorch Implementation of StarGAN - CVPR 2018| |[keras-rl](https://github.com/keras-rl/keras-rl)|4.1k|Deep Reinforcement Learning for Keras.| -|[stargan](https://github.com/yunjey/stargan)|4k|Official PyTorch Implementation of StarGAN - CVPR 2018| |[sketch-code](https://github.com/ashnkumar/sketch-code)|4k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| |[PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|3.9k|PyTorch implementations of Generative Adversarial Networks.| |[tensorspace](https://github.com/tensorspace-team/tensorspace)|3.9k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained dee…| @@ -151,10 +157,15 @@ Last Update: 2018.08.14 |[SSD-Tensorflow](https://github.com/balancap/SSD-Tensorflow)|3.3k|Single Shot MultiBox Detector in TensorFlow| |[Practical_RL](https://github.com/yandexdataschool/Practical_RL)|3.3k|A course in reinforcement learning in the wild| |[tensorflow-generative-model-collections](https://github.com/hwalsuklee/tensorflow-generative-model-collections)|3.3k|Collection of generative models in Tensorflow| +|[OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py)|3.3k|Open Source Neural Machine Translation in PyTorch| |[TensorFlowOnSpark](https://github.com/yahoo/TensorFlowOnSpark)|3.2k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| |[hands-on-ml-zh](https://github.com/apachecn/hands-on-ml-zh)|3.1k|📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】| |[Learning-to-See-in-the-Dark](https://github.com/cchen156/Learning-to-See-in-the-Dark)|3.1k|Learning to See in the Dark. CVPR 2018| |[Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|3.1k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| +|[face-alignment](https://github.com/1adrianb/face-alignment)|3k|🔥 2D and 3D Face alignment library build using pytorch| +|[pytorch-examples](https://github.com/jcjohnson/pytorch-examples)|3k|Simple examples to introduce PyTorch| +|[attention-is-all-you-need-pytorch](https://github.com/jadore801120/attention-is-all-you-need-pytorch)|3k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| +|[AlphaPose](https://github.com/MVIG-SJTU/AlphaPose)|3k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| |[Tensorflow-Project-Template](https://github.com/MrGemy95/Tensorflow-Project-Template)|3k|A best practice for tensorflow project template architecture.| |[tf-faster-rcnn](https://github.com/endernewton/tf-faster-rcnn)|2.9k|Tensorflow Faster RCNN for Object Detection| |[vespa](https://github.com/vespa-engine/vespa)|2.9k|Vespa is an engine for low-latency computation over large data sets.| @@ -162,14 +173,17 @@ Last Update: 2018.08.14 |[SmartCropper](https://github.com/pqpo/SmartCropper)|2.9k|🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自…| |[FastMaskRCNN](https://github.com/CharlesShang/FastMaskRCNN)|2.9k|Mask RCNN in TensorFlow| |[lucid](https://github.com/tensorflow/lucid)|2.8k|A collection of infrastructure and tools for research in neural network interpretability.| +|[PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll)|2.8k|Simple PyTorch Tutorials Zero to ALL!| |[easy-tensorflow](https://github.com/easy-tensorflow/easy-tensorflow)|2.8k|Simple and comprehensive tutorials in TensorFlow| |[adanet](https://github.com/tensorflow/adanet)|2.8k|Fast and flexible AutoML with learning guarantees.| |[pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)|2.8k|Create HTML profiling reports from pandas DataFrame objects| |[handong1587.github.io](https://github.com/handong1587/handong1587.github.io)|2.7k|| |[tensorflow_poems](https://github.com/jinfagang/tensorflow_poems)|2.7k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！| +|[BERT-pytorch](https://github.com/codertimo/BERT-pytorch)|2.7k|Google AI 2018 BERT pytorch implementation| |[DeepLearning.ai-Summary](https://github.com/mbadry1/DeepLearning.ai-Summary)|2.7k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…| |[DeepVideoAnalytics](https://github.com/AKSHAYUBHAT/DeepVideoAnalytics)|2.7k|A distributed visual search and visual data analytics platform.| |[Tensorflow-Cookbook](https://github.com/taki0112/Tensorflow-Cookbook)|2.7k|Simple Tensorflow Cookbook for easy-to-use| +|[60_Days_RL_Challenge](https://github.com/andri27-ts/60_Days_RL_Challenge)|2.7k|Learn Deep Reinforcement Learning in Depth in 60 days| |[DeepLearning](https://github.com/yusugomori/DeepLearning)|2.7k|Deep Learning (Python, C, C++, Java, Scala, Go)| |[TensorFlowSharp](https://github.com/migueldeicaza/TensorFlowSharp)|2.7k|TensorFlow API for .NET languages| |[gorgonia](https://github.com/gorgonia/gorgonia)|2.7k|Gorgonia is a library that helps facilitate machine learning in Go.| @@ -185,12 +199,12 @@ Last Update: 2018.08.14 |[NakedTensor](https://github.com/jostmey/NakedTensor)|2.5k|Bare bone examples of machine learning in TensorFlow| |[Automatic_Speech_Recognition](https://github.com/zzw922cn/Automatic_Speech_Recognition)|2.5k|End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow| |[DeepQA](https://github.com/Conchylicultor/DeepQA)|2.5k|My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot| +|[deepjazz](https://github.com/jisungk/deepjazz)|2.5k|Deep learning driven jazz generation using Keras & Theano!| |[machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)|2.4k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| |[text-classification-cnn-rnn](https://github.com/gaussic/text-classification-cnn-rnn)|2.4k|CNN-RNN中文文本分类，基于TensorFlow| |[tensorforce](https://github.com/tensorforce/tensorforce)|2.4k|Tensorforce: a TensorFlow library for applied reinforcement learning| |[HyperLPR](https://github.com/zeusees/HyperLPR)|2.4k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| |[tencent-ml-images](https://github.com/Tencent/tencent-ml-images)|2.4k|Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet| -|[deepjazz](https://github.com/jisungk/deepjazz)|2.4k|Deep learning driven jazz generation using Keras & Theano!| |[LSTM-Human-Activity-Recognition](https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition)|2.3k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo…| |[neural-style-tf](https://github.com/cysmith/neural-style-tf)|2.3k|TensorFlow (Python API) implementation of Neural Style| |[tensorwatch](https://github.com/microsoft/tensorwatch)|2.3k|Debugging, monitoring and visualization for Python Machine Learning and Data Science| From aefe411956faeac52bc7e0c07e2463abe978f49b Mon Sep 17 00:00:00 2001 From: aymericdamien Date: Wed, 8 Jul 2020 16:45:06 -0700 Subject: [PATCH 08/10] update --- README.md | 697 ++++++++++++++++++++++++++++-------------------------- 1 file changed, 360 insertions(+), 337 deletions(-) diff --git a/README.md b/README.md index 1b8f344..038499f 100644 --- a/README.md +++ b/README.md @@ -1,346 +1,369 @@ # Top Deep Learning Projects A list of popular github projects related to deep learning (ranked by stars). -Last Update: 2019.08.15 +Last Update: 2020.07.08 | Project Name | Stars | Description | | ------- | ------ | ------ | -|[tensorflow](https://github.com/tensorflow/tensorflow)|133k|An Open Source Machine Learning Framework for Everyone| -|[models](https://github.com/tensorflow/models)|56.5k|Models and examples built with TensorFlow| -|[keras](https://github.com/keras-team/keras)|43.5k|Deep Learning for humans| -|[scikit-learn](https://github.com/scikit-learn/scikit-learn)|36.6k|scikit-learn: machine learning in Python| -|[TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|33.4k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| -|[pytorch](https://github.com/pytorch/pytorch)|30.8k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| -|[caffe](https://github.com/BVLC/caffe)|28.8k|Caffe: a fast open framework for deep learning.| -|[Deep-Learning-Papers-Reading-Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)|23.7k|Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!| -|[practicalAI](https://github.com/GokuMohandas/practicalAI)|19.6k|📚 A practical approach to machine learning.| -|[incubator-mxnet](https://github.com/apache/incubator-mxnet)|17.5k|Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;…| -|[bert](https://github.com/google-research/bert)|17.4k|TensorFlow code and pre-trained models for BERT| -|[CNTK](https://github.com/microsoft/CNTK)|16.3k|Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit| -|[handson-ml](https://github.com/ageron/handson-ml)|16.3k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …| -|[data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks)|16.2k|Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spar…| -|[fastai](https://github.com/fastai/fastai)|15k|The fastai deep learning library, plus lessons and tutorials| -|[Mask_RCNN](https://github.com/matterport/Mask_RCNN)|13.5k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow| -|[100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|12.9k|100-Days-Of-ML-Code中文版| -|[TensorFlow-Course](https://github.com/machinelearningmindset/TensorFlow-Course)|12.9k|Simple and ready-to-use tutorials for TensorFlow| -|[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|12.9k|PyTorch Tutorial for Deep Learning Researchers| -|[homemade-machine-learning](https://github.com/trekhleb/homemade-machine-learning)|12.8k|🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained| -|[reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|12.2k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| -|[predictionio](https://github.com/apache/predictionio)|12k|PredictionIO, a machine learning server for developers and ML engineers.| -|[ML-From-Scratch](https://github.com/eriklindernoren/ML-From-Scratch)|11.9k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| -|[Virgilio](https://github.com/virgili0/Virgilio)|11.6k|Your new Mentor for Data Science E-Learning.| -|[funNLP](https://github.com/fighting41love/funNLP)|11.6k|新闻语料库包含自动文摘功能、开放了对话机器人-知识图谱-语义理解-自然语言处理工具及数据、中文知识图谱：基于百度百科中文页面-抽取三元组信息-构建中文知识图谱、masr: 中文语音识别-提供预训练模型-高识别率、Python音频数据增…| -|[deeplearning4j](https://github.com/eclipse/deeplearning4j)|11.1k|Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark| -|[DeepSpeech](https://github.com/mozilla/DeepSpeech)|10.9k|A TensorFlow implementation of Baidu's DeepSpeech architecture| -|[pytorch-transformers](https://github.com/huggingface/pytorch-transformers)|10.8k|👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)| -|[python-machine-learning-book](https://github.com/rasbt/python-machine-learning-book)|10.1k|The "Python Machine Learning (1st edition)" book code repository and info resource| -|[FastPhotoStyle](https://github.com/NVIDIA/FastPhotoStyle)|9.8k|Style transfer, deep learning, feature transform| -|[neural-networks-and-deep-learning](https://github.com/mnielsen/neural-networks-and-deep-learning)|9.8k|Code samples for my book "Neural Networks and Deep Learning"| -|[convnetjs](https://github.com/karpathy/convnetjs)|9.8k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.| -|[examples](https://github.com/pytorch/examples)|9.7k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.| -|[Paddle](https://github.com/PaddlePaddle/Paddle)|9.6k|PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）| -|[neural-enhance](https://github.com/alexjc/neural-enhance)|9.4k|Super Resolution for images using deep learning.| -|[pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)|9.3k|Image-to-Image Translation in PyTorch| -|[LightGBM](https://github.com/microsoft/LightGBM)|9.3k|A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tr…| -|[tflearn](https://github.com/tflearn/tflearn)|9.2k|Deep learning library featuring a higher-level API for TensorFlow.| -|[nndl.github.io](https://github.com/nndl/nndl.github.io)|9.1k|《神经网络与深度学习》 Neural Network and Deep Learning| -|[deeplearning-models](https://github.com/rasbt/deeplearning-models)|9k|A collection of various deep learning architectures, models, and tips| -|[ChatterBot](https://github.com/gunthercox/ChatterBot)|8.8k|ChatterBot is a machine learning, conversational dialog engine for creating chat bots| -|[stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials)|8.8k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| -|[facenet](https://github.com/davidsandberg/facenet)|8.8k|Face recognition using Tensorflow| -|[tensor2tensor](https://github.com/tensorflow/tensor2tensor)|8.6k|Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.| -|[caffe2](https://github.com/facebookarchive/caffe2)|8.5k|Caffe2 is a lightweight, modular, and scalable deep learning framework.| -|[DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|8.3k|Decensoring Hentai with Deep Neural Networks| -|[fast-style-transfer](https://github.com/lengstrom/fast-style-transfer)|8.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| -|[dopamine](https://github.com/google/dopamine)|8.2k|Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.| -|[dlib](https://github.com/davisking/dlib)|7.8k|A toolkit for making real world machine learning and data analysis applications in C++| -|[sonnet](https://github.com/deepmind/sonnet)|7.8k|TensorFlow-based neural network library| -|[deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)|7.7k|Jupyter notebooks for the code samples of the book "Deep Learning with Python"| -|[MLAlgorithms](https://github.com/rushter/MLAlgorithms)|7.6k|Minimal and clean examples of machine learning algorithms implementations| -|[DeOldify](https://github.com/jantic/DeOldify)|7.6k|A Deep Learning based project for colorizing and restoring old images (and video!)| -|[stylegan](https://github.com/NVlabs/stylegan)|7.5k|StyleGAN - Official TensorFlow Implementation| -|[TensorFlow-Tutorials](https://github.com/Hvass-Labs/TensorFlow-Tutorials)|7.5k|TensorFlow Tutorials with YouTube Videos| -|[kubeflow](https://github.com/kubeflow/kubeflow)|7.3k|Machine Learning Toolkit for Kubernetes| -|[php-ml](https://github.com/php-ai/php-ml)|7.3k|PHP-ML - Machine Learning library for PHP| -|[horovod](https://github.com/horovod/horovod)|7.2k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| -|[pattern](https://github.com/clips/pattern)|7.1k|Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysi…| -|[allennlp](https://github.com/allenai/allennlp)|6.9k|An open-source NLP research library, built on PyTorch.| -|[flair](https://github.com/zalandoresearch/flair)|6.9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)| -|[pytorch-handbook](https://github.com/zergtant/pytorch-handbook)|6.7k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行| -|[golearn](https://github.com/sjwhitworth/golearn)|6.7k|Machine Learning for Go| -|[imgaug](https://github.com/aleju/imgaug)|6.7k|Image augmentation for machine learning experiments.| -|[vid2vid](https://github.com/NVIDIA/vid2vid)|6.7k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| -|[mit-deep-learning-book-pdf](https://github.com/janishar/mit-deep-learning-book-pdf)|6.6k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| -|[face-api.js](https://github.com/justadudewhohacks/face-api.js)|6.6k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js| -|[tutorials](https://github.com/MorvanZhou/tutorials)|6.6k|机器学习相关教程| -|[onnx](https://github.com/onnx/onnx)|6.6k|Open Neural Network Exchange| -|[vowpal_wabbit](https://github.com/VowpalWabbit/vowpal_wabbit)|6.5k|Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as onli…| -|[ml-agents](https://github.com/Unity-Technologies/ml-agents)|6.5k|Unity Machine Learning Agents Toolkit| -|[numpy-ml](https://github.com/ddbourgin/numpy-ml)|6.4k|Machine learning, in numpy| -|[machinelearning](https://github.com/dotnet/machinelearning)|6.3k|ML.NET is an open source and cross-platform machine learning framework for .NET.| -|[lime](https://github.com/marcotcr/lime)|6.3k|Lime: Explaining the predictions of any machine learning classifier| -|[rasa](https://github.com/RasaHQ/rasa)|6.2k|💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, c…| -|[maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark)|6.2k|Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.| -|[tpot](https://github.com/EpistasisLab/tpot)|6.1k|A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.| -|[shap](https://github.com/slundberg/shap)|6.1k|A unified approach to explain the output of any machine learning model.| -|[DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow)|6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"| -|[machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|5.9k|💬 Machine Learning Course with Python. Refer to the course page for step-by-step explanations.| -|[autokeras](https://github.com/keras-team/autokeras)|5.8k|Accessible AutoML for deep learning.| -|[TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.8k|Simple tutorials using Google's TensorFlow Framework| -|[netron](https://github.com/lutzroeder/netron)|5.8k|Visualizer for neural network, deep learning and machine learning models| -|[mmdetection](https://github.com/open-mmlab/mmdetection)|5.7k|Open MMLab Detection Toolbox and Benchmark| -|[facets](https://github.com/PAIR-code/facets)|5.7k|Visualizations for machine learning datasets| -|[ludwig](https://github.com/uber/ludwig)|5.6k|Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to…| -|[Swift-AI](https://github.com/Swift-AI/Swift-AI)|5.6k|The Swift machine learning library.| -|[DeepFaceLab](https://github.com/iperov/DeepFaceLab)|5.6k|DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work stan…| -|[mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)|5.6k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| -|[tensorboardX](https://github.com/lanpa/tensorboardX)|5.5k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| -|[pytorch-book](https://github.com/chenyuntc/pytorch-book)|5.5k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation| -|[pyro](https://github.com/pyro-ppl/pyro)|5.5k|Deep universal probabilistic programming with Python and PyTorch| -|[generative-models](https://github.com/wiseodd/generative-models)|5.4k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| -|[guess](https://github.com/guess-js/guess)|5.4k|Libraries & tools for enabling Machine Learning driven user-experiences on the web| -|[tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)|5.4k|From the basics to slightly more interesting applications of Tensorflow| -|[deep-learning-models](https://github.com/fchollet/deep-learning-models)|5.4k|Keras code and weights files for popular deep learning models.| -|[tensorlayer](https://github.com/tensorlayer/tensorlayer)|5.4k|Deep Learning and Reinforcement Learning Library for Scientists| -|[DeepLearningFlappyBird](https://github.com/yenchenlin/DeepLearningFlappyBird)|5.3k|Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).| -|[bullet3](https://github.com/bulletphysics/bullet3)|5.3k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| -|[pytext](https://github.com/facebookresearch/pytext)|5.3k|A natural language modeling framework based on PyTorch| -|[tensorflow_cookbook](https://github.com/nfmcclure/tensorflow_cookbook)|5.1k|Code for Tensorflow Machine Learning Cookbook| -|[text_classification](https://github.com/brightmart/text_classification)|5.1k|all kinds of text classification models and more with deep learning| -|[deep-image-prior](https://github.com/DmitryUlyanov/deep-image-prior)|5k|Image restoration with neural networks but without learning.| -|[srez](https://github.com/david-gpu/srez)|5k|Image super-resolution through deep learning| -|[fairseq](https://github.com/pytorch/fairseq)|5k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| -|[deepo](https://github.com/ufoym/deepo)|5k|Set up deep learning environment in a single command line.| -|[bert-as-service](https://github.com/hanxiao/bert-as-service)|5k|Mapping a variable-length sentence to a fixed-length vector using BERT model| -|[chainer](https://github.com/chainer/chainer)|5k|A flexible framework of neural networks for deep learning| -|[darkflow](https://github.com/thtrieu/darkflow)|5k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def …| -|[faceai](https://github.com/vipstone/faceai)|4.9k|一款入门级的人脸、视频、文字检测以及识别的项目.| -|[cnn-text-classification-tf](https://github.com/dennybritz/cnn-text-classification-tf)|4.9k|Convolutional Neural Network for Text Classification in Tensorflow| -|[seq2seq](https://github.com/google/seq2seq)|4.9k|A general-purpose encoder-decoder framework for Tensorflow| -|[pretrained-models.pytorch](https://github.com/Cadene/pretrained-models.pytorch)|4.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.| -|[pytorch_geometric](https://github.com/rusty1s/pytorch_geometric)|4.8k|Geometric Deep Learning Extension Library for PyTorch| -|[have-fun-with-machine-learning](https://github.com/humphd/have-fun-with-machine-learning)|4.8k|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks| -|[nmt](https://github.com/tensorflow/nmt)|4.8k|TensorFlow Neural Machine Translation Tutorial| -|[neural-style](https://github.com/anishathalye/neural-style)|4.8k|Neural style in TensorFlow! 🎨| -|[tensorpack](https://github.com/tensorpack/tensorpack)|4.7k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility| -|[keras-js](https://github.com/transcranial/keras-js)|4.6k|Run Keras models in the browser, with GPU support using WebGL| -|[python-machine-learning-book-2nd-edition](https://github.com/rasbt/python-machine-learning-book-2nd-edition)|4.6k|The "Python Machine Learning (2nd edition)" book code repository and info resource| -|[aerosolve](https://github.com/airbnb/aerosolve)|4.6k|A machine learning package built for humans.| -|[TopDeepLearning](https://github.com/aymericdamien/TopDeepLearning)|4.5k|A list of popular github projects related to deep learning| -|[swift](https://github.com/tensorflow/swift)|4.5k|Swift for TensorFlow Project Home Page| -|[TensorFlow-World](https://github.com/astorfi/TensorFlow-World)|4.4k|🌎 Simple and ready-to-use tutorials for TensorFlow| -|[TensorFlow-Book](https://github.com/BinRoot/TensorFlow-Book)|4.3k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.| -|[xlnet](https://github.com/zihangdai/xlnet)|4.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| -|[edward](https://github.com/blei-lab/edward)|4.3k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| -|[alluxio](https://github.com/Alluxio/alluxio)|4.3k|Alluxio, data orchestration for analytics and machine learning in the cloud| -|[stargan](https://github.com/yunjey/stargan)|4.1k|Official PyTorch Implementation of StarGAN - CVPR 2018| -|[keras-rl](https://github.com/keras-rl/keras-rl)|4.1k|Deep Reinforcement Learning for Keras.| -|[sketch-code](https://github.com/ashnkumar/sketch-code)|4k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| -|[PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|3.9k|PyTorch implementations of Generative Adversarial Networks.| -|[tensorspace](https://github.com/tensorspace-team/tensorspace)|3.9k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained dee…| -|[nlp-tutorial](https://github.com/graykode/nlp-tutorial)|3.9k|Natural Language Processing Tutorial for Deep Learning Researchers| -|[MMdnn](https://github.com/microsoft/MMdnn)|3.9k|MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion a…| -|[photoprism](https://github.com/photoprism/photoprism)|3.9k|Personal Photo Management powered by Go and Google TensorFlow| -|[faster-rcnn.pytorch](https://github.com/jwyang/faster-rcnn.pytorch)|3.9k|A faster pytorch implementation of faster r-cnn| -|[pix2pixHD](https://github.com/NVIDIA/pix2pixHD)|3.8k|Synthesizing and manipulating 2048x1024 images with conditional GANs| -|[pipeline](https://github.com/PipelineAI/pipeline)|3.7k|PipelineAI: Real-Time Enterprise AI Platform| -|[serving](https://github.com/tensorflow/serving)|3.7k|A flexible, high-performance serving system for machine learning models| -|[PySyft](https://github.com/OpenMined/PySyft)|3.7k|A library for encrypted, privacy preserving deep learning| -|[DeepLearningZeroToAll](https://github.com/hunkim/DeepLearningZeroToAll)|3.6k|TensorFlow Basic Tutorial Labs| -|[graph_nets](https://github.com/deepmind/graph_nets)|3.6k|Build Graph Nets in Tensorflow| -|[practical-pytorch](https://github.com/spro/practical-pytorch)|3.5k|PyTorch tutorials demonstrating modern techniques with readable code| -|[CapsNet-Tensorflow](https://github.com/naturomics/CapsNet-Tensorflow)|3.5k|A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules| -|[tensorflow-docs](https://github.com/xitu/tensorflow-docs)|3.5k|TensorFlow 最新官方文档中文版| -|[PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|3.5k|Build your neural network easy and fast| -|[DeepPavlov](https://github.com/deepmipt/DeepPavlov)|3.3k|An open source library for deep learning end-to-end dialog systems and chatbots.| -|[Tensorflow-Tutorial](https://github.com/MorvanZhou/Tensorflow-Tutorial)|3.3k|Tensorflow tutorial from basic to hard| -|[SSD-Tensorflow](https://github.com/balancap/SSD-Tensorflow)|3.3k|Single Shot MultiBox Detector in TensorFlow| -|[Practical_RL](https://github.com/yandexdataschool/Practical_RL)|3.3k|A course in reinforcement learning in the wild| -|[tensorflow-generative-model-collections](https://github.com/hwalsuklee/tensorflow-generative-model-collections)|3.3k|Collection of generative models in Tensorflow| -|[OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py)|3.3k|Open Source Neural Machine Translation in PyTorch| -|[TensorFlowOnSpark](https://github.com/yahoo/TensorFlowOnSpark)|3.2k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| -|[hands-on-ml-zh](https://github.com/apachecn/hands-on-ml-zh)|3.1k|📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】| -|[Learning-to-See-in-the-Dark](https://github.com/cchen156/Learning-to-See-in-the-Dark)|3.1k|Learning to See in the Dark. CVPR 2018| -|[Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|3.1k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| -|[face-alignment](https://github.com/1adrianb/face-alignment)|3k|🔥 2D and 3D Face alignment library build using pytorch| -|[pytorch-examples](https://github.com/jcjohnson/pytorch-examples)|3k|Simple examples to introduce PyTorch| -|[attention-is-all-you-need-pytorch](https://github.com/jadore801120/attention-is-all-you-need-pytorch)|3k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| -|[AlphaPose](https://github.com/MVIG-SJTU/AlphaPose)|3k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| -|[Tensorflow-Project-Template](https://github.com/MrGemy95/Tensorflow-Project-Template)|3k|A best practice for tensorflow project template architecture.| -|[tf-faster-rcnn](https://github.com/endernewton/tf-faster-rcnn)|2.9k|Tensorflow Faster RCNN for Object Detection| -|[vespa](https://github.com/vespa-engine/vespa)|2.9k|Vespa is an engine for low-latency computation over large data sets.| -|[textgenrnn](https://github.com/minimaxir/textgenrnn)|2.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| -|[SmartCropper](https://github.com/pqpo/SmartCropper)|2.9k|🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自…| -|[FastMaskRCNN](https://github.com/CharlesShang/FastMaskRCNN)|2.9k|Mask RCNN in TensorFlow| -|[lucid](https://github.com/tensorflow/lucid)|2.8k|A collection of infrastructure and tools for research in neural network interpretability.| -|[PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll)|2.8k|Simple PyTorch Tutorials Zero to ALL!| +|[awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning)|45.6k|A curated list of awesome Machine Learning frameworks, libraries and software.| +|[TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|38.1k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| +|[caffe](https://github.com/BVLC/caffe)|30.5k|Caffe: a fast open framework for deep learning.| +|[gold-miner](https://github.com/xitu/gold-miner)|26.6k|🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：| +|[Deep-Learning-Papers-Reading-Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)|26.5k|Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!| +|[basics](https://github.com/madewithml/basics)|24.5k|📚 Learn ML with clean code, simplified math and illustrative visuals.| +|[bert](https://github.com/google-research/bert)|23.9k|TensorFlow code and pre-trained models for BERT| +|[funNLP](https://github.com/fighting41love/funNLP)|22.1k|(Machine Learning)NLP面试中常考到的知识点和代码实现、nlp4han:中文自然语言处理工具集(断句/分词/词性标注/组块/句法分析/语义分析/NER/N元语法/HMM/代词消解/情感分析/拼写检查、XLM：Face…| +|[awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers)|21.3k|The most cited deep learning papers| +|[handson-ml](https://github.com/ageron/handson-ml)|20.3k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …| +|[Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|18.4k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| +|[fastai](https://github.com/fastai/fastai)|18.3k|The fastai deep learning library, plus lessons and tutorials| +|[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|17.3k|PyTorch Tutorial for Deep Learning Researchers| +|[Mask_RCNN](https://github.com/matterport/Mask_RCNN)|17.2k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow| +|[ML-From-Scratch](https://github.com/eriklindernoren/ML-From-Scratch)|16.5k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| +|[awesome-tensorflow](https://github.com/jtoy/awesome-tensorflow)|15.8k|TensorFlow - A curated list of dedicated resources http://tensorflow.org| +|[100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|15.6k|100-Days-Of-ML-Code中文版| +|[awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)|15.4k|A curated list of awesome Deep Learning tutorials, projects and communities.| +|[reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|14.7k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| +|[TensorFlow-Course](https://github.com/machinelearningmindset/TensorFlow-Course)|14.6k|Simple and ready-to-use tutorials for TensorFlow| +|[homemade-machine-learning](https://github.com/trekhleb/homemade-machine-learning)|14.2k|🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained| +|[examples](https://github.com/pytorch/examples)|13.5k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.| +|[cheatsheets-ai](https://github.com/kailashahirwar/cheatsheets-ai)|13.4k|Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essentia…| +|[Qix](https://github.com/ty4z2008/Qix)|13.3k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang| +|[deeplearning-models](https://github.com/rasbt/deeplearning-models)|12.7k|A collection of various deep learning architectures, models, and tips| +|[Virgilio](https://github.com/virgili0/Virgilio)|12.7k|Your new Mentor for Data Science E-Learning.| +|[nndl.github.io](https://github.com/nndl/nndl.github.io)|12.7k|《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning| +|[pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)|12.4k|Image-to-Image Translation in PyTorch| +|[predictionio](https://github.com/apache/predictionio)|12.4k|PredictionIO, a machine learning server for developers and ML engineers.| +|[pytorch-handbook](https://github.com/zergtant/pytorch-handbook)|11.9k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行| +|[tensorflow-zh](https://github.com/jikexueyuanwiki/tensorflow-zh)|11.8k|谷歌全新开源人工智能系统TensorFlow官方文档中文版| +|[Paddle](https://github.com/PaddlePaddle/Paddle)|11.8k|PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训…| +|[neural-networks-and-deep-learning](https://github.com/mnielsen/neural-networks-and-deep-learning)|11.3k|Code samples for my book "Neural Networks and Deep Learning"| +|[deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)|10.8k|Jupyter notebooks for the code samples of the book "Deep Learning with Python"| +|[facenet](https://github.com/davidsandberg/facenet)|10.8k|Face recognition using Tensorflow| +|[DeOldify](https://github.com/jantic/DeOldify)|10.7k|A Deep Learning based project for colorizing and restoring old images (and video!)| +|[python-machine-learning-book](https://github.com/rasbt/python-machine-learning-book)|10.7k|The "Python Machine Learning (1st edition)" book code repository and info resource| +|[stanford-cs-229-machine-learning](https://github.com/afshinea/stanford-cs-229-machine-learning)|10.6k|VIP cheatsheets for Stanford's CS 229 Machine Learning| +|[Machine-Learning-Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials)|10.4k|machine learning and deep learning tutorials, articles and other resources| +|[Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)|10.4k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…| +|[FastPhotoStyle](https://github.com/NVIDIA/FastPhotoStyle)|10.3k|Style transfer, deep learning, feature transform| +|[tensor2tensor](https://github.com/tensorflow/tensor2tensor)|10.2k|Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.| +|[dive-into-machine-learning](https://github.com/hangtwenty/dive-into-machine-learning)|10k|Dive into Machine Learning with Python Jupyter notebook and scikit-learn!| +|[convnetjs](https://github.com/karpathy/convnetjs)|10k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.| +|[stylegan](https://github.com/NVlabs/stylegan)|9.7k|StyleGAN - Official TensorFlow Implementation| +|[Dive-into-DL-PyTorch](https://github.com/ShusenTang/Dive-into-DL-PyTorch)|9.6k|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。| +|[DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|9.6k|Decensoring Hentai with Deep Neural Networks| +|[stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials)|9.6k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| +|[horovod](https://github.com/horovod/horovod)|9.6k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| +|[imgaug](https://github.com/aleju/imgaug)|9.5k|Image augmentation for machine learning experiments.| +|[Deep-Learning-with-TensorFlow-book](https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book)|9.4k|深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.| +|[fast-style-transfer](https://github.com/lengstrom/fast-style-transfer)|9.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| +|[ncnn](https://github.com/Tencent/ncnn)|9.1k|ncnn is a high-performance neural network inference framework optimized for the mobile platform| +|[awesome-deep-vision](https://github.com/kjw0612/awesome-deep-vision)|9.1k|A curated list of deep learning resources for computer vision| +|[ml-agents](https://github.com/Unity-Technologies/ml-agents)|9k|Unity Machine Learning Agents Toolkit| +|[conv_arithmetic](https://github.com/vdumoulin/conv_arithmetic)|9k|A technical report on convolution arithmetic in the context of deep learning| +|[state-of-the-art-result-for-machine-learning-problems](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems)|9k|This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep th…| +|[dopamine](https://github.com/google/dopamine)|8.9k|Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.| +|[numpy-ml](https://github.com/ddbourgin/numpy-ml)|8.8k|Machine learning, in numpy| +|[EffectiveTensorflow](https://github.com/vahidk/EffectiveTensorflow)|8.6k|TensorFlow tutorials and best practices.| +|[handson-ml2](https://github.com/ageron/handson-ml2)|8.6k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python …| +|[sonnet](https://github.com/deepmind/sonnet)|8.4k|TensorFlow-based neural network library| +|[deep_learning_object_detection](https://github.com/hoya012/deep_learning_object_detection)|8.4k|A paper list of object detection using deep learning.| +|[mit-deep-learning-book-pdf](https://github.com/janishar/mit-deep-learning-book-pdf)|8.3k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| +|[TensorFlow-Tutorials](https://github.com/Hvass-Labs/TensorFlow-Tutorials)|8.3k|TensorFlow Tutorials with YouTube Videos| +|[pytorch_geometric](https://github.com/rusty1s/pytorch_geometric)|8.2k|Geometric Deep Learning Extension Library for PyTorch| +|[tutorials](https://github.com/MorvanZhou/tutorials)|8.2k|机器学习相关教程| +|[deep-learning-drizzle](https://github.com/kmario23/deep-learning-drizzle)|8.1k|Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from…| +|[MLAlgorithms](https://github.com/rushter/MLAlgorithms)|8.1k|Minimal and clean examples of machine learning algorithms implementations| +|[bert-as-service](https://github.com/hanxiao/bert-as-service)|7.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model| +|[lime](https://github.com/marcotcr/lime)|7.7k|Lime: Explaining the predictions of any machine learning classifier| +|[mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)|7.7k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| +|[pattern](https://github.com/clips/pattern)|7.5k|Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysi…| +|[C-Plus-Plus](https://github.com/TheAlgorithms/C-Plus-Plus)|7.5k|Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ fo…| +|[vid2vid](https://github.com/NVIDIA/vid2vid)|7.4k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| +|[tpot](https://github.com/EpistasisLab/tpot)|7.3k|A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.| +|[Learn_Machine_Learning_in_3_Months](https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months)|7.3k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube| +|[golearn](https://github.com/sjwhitworth/golearn)|7.3k|Machine Learning for Go| +|[mlcourse.ai](https://github.com/Yorko/mlcourse.ai)|7k|Open Machine Learning Course| +|[faceai](https://github.com/vipstone/faceai)|7k|一款入门级的人脸、视频、文字检测以及识别的项目.| +|[PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|6.7k|PyTorch implementations of Generative Adversarial Networks.| +|[nlp-tutorial](https://github.com/graykode/nlp-tutorial)|6.6k|Natural Language Processing Tutorial for Deep Learning Researchers| +|[bullet3](https://github.com/bulletphysics/bullet3)|6.6k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| +|[tfjs-models](https://github.com/tensorflow/tfjs-models)|6.5k|Pretrained models for TensorFlow.js| +|[tensorboardX](https://github.com/lanpa/tensorboardX)|6.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| +|[deep-learning-models](https://github.com/fchollet/deep-learning-models)|6.4k|Keras code and weights files for popular deep learning models.| +|[machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|6.4k|💬 Machine Learning Course with Python:| +|[text_classification](https://github.com/brightmart/text_classification)|6.3k|all kinds of text classification models and more with deep learning| +|[d2l-en](https://github.com/d2l-ai/d2l-en)|6.2k|Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.| +|[mml-book.github.io](https://github.com/mml-book/mml-book.github.io)|6.2k|Companion webpage to the book "Mathematics For Machine Learning"| +|[tensorlayer](https://github.com/tensorlayer/tensorlayer)|6.2k|Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥| +|[generative-models](https://github.com/wiseodd/generative-models)|6.1k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| +|[machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)|6.1k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| +|[deep-image-prior](https://github.com/DmitryUlyanov/deep-image-prior)|6k|Image restoration with neural networks but without learning.| +|[keras-yolo3](https://github.com/qqwweee/keras-yolo3)|6k|A Keras implementation of YOLOv3 (Tensorflow backend)| +|[TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.9k|Simple tutorials using Google's TensorFlow Framework| +|[tensorflow2_tutorials_chinese](https://github.com/czy36mengfei/tensorflow2_tutorials_chinese)|5.9k|tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials| +|[python-machine-learning-book-2nd-edition](https://github.com/rasbt/python-machine-learning-book-2nd-edition)|5.8k|The "Python Machine Learning (2nd edition)" book code repository and info resource| +|[Swift-AI](https://github.com/Swift-AI/Swift-AI)|5.7k|The Swift machine learning library.| +|[DeepLearningFlappyBird](https://github.com/yenchenlin/DeepLearningFlappyBird)|5.7k|Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).| +|[the-incredible-pytorch](https://github.com/ritchieng/the-incredible-pytorch)|5.7k|The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.| +|[awesome-object-detection](https://github.com/amusi/awesome-object-detection)|5.6k|Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-d…| +|[deepo](https://github.com/ufoym/deepo)|5.6k|Set up deep learning environment in a single command line.| +|[tensorpack](https://github.com/tensorpack/tensorpack)|5.6k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility| +|[tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)|5.5k|From the basics to slightly more interesting applications of Tensorflow| +|[incubator-tvm](https://github.com/apache/incubator-tvm)|5.5k|Open deep learning compiler stack for cpu, gpu and specialized accelerators| +|[nmt](https://github.com/tensorflow/nmt)|5.5k|TensorFlow Neural Machine Translation Tutorial| +|[ML-NLP](https://github.com/NLP-LOVE/ML-NLP)|5.5k|此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。| +|[deep-learning-coursera](https://github.com/Kulbear/deep-learning-coursera)|5.5k|Deep Learning Specialization by Andrew Ng on Coursera.| +|[UGATIT](https://github.com/taki0112/UGATIT)|5.4k|Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Inst…| +|[deep-residual-networks](https://github.com/KaimingHe/deep-residual-networks)|5.4k|Deep Residual Learning for Image Recognition| +|[chainer](https://github.com/chainer/chainer)|5.4k|A flexible framework of neural networks for deep learning| +|[xlnet](https://github.com/zihangdai/xlnet)|5.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| +|[3D-Machine-Learning](https://github.com/timzhang642/3D-Machine-Learning)|5.3k|A resource repository for 3D machine learning| +|[Reinforcement-learning-with-tensorflow](https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow)|5.3k|Simple Reinforcement learning tutorials| +|[neural-style](https://github.com/anishathalye/neural-style)|5.2k|Neural style in TensorFlow! 🎨| +|[TensorFlow-2.x-Tutorials](https://github.com/dragen1860/TensorFlow-2.x-Tutorials)|5.2k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…| +|[industry-machine-learning](https://github.com/firmai/industry-machine-learning)|5.2k|A curated list of applied machine learning and data science notebooks and libraries across different industries (by @…| +|[cnn-text-classification-tf](https://github.com/dennybritz/cnn-text-classification-tf)|5.2k|Convolutional Neural Network for Text Classification in Tensorflow| +|[machine_learning_examples](https://github.com/lazyprogrammer/machine_learning_examples)|5.2k|A collection of machine learning examples and tutorials.| +|[chineseocr_lite](https://github.com/ouyanghuiyu/chineseocr_lite)|5.1k|超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M| +|[srez](https://github.com/david-gpu/srez)|5.1k|Image super-resolution through deep learning| +|[tiny-dnn](https://github.com/tiny-dnn/tiny-dnn)|5.1k|header only, dependency-free deep learning framework in C++14| +|[TopDeepLearning](https://github.com/aymericdamien/TopDeepLearning)|4.9k|A list of popular github projects related to deep learning| +|[have-fun-with-machine-learning](https://github.com/humphd/have-fun-with-machine-learning)|4.9k|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks| +|[tensorflow-wavenet](https://github.com/ibab/tensorflow-wavenet)|4.9k|A TensorFlow implementation of DeepMind's WaveNet paper| +|[stylegan2](https://github.com/NVlabs/stylegan2)|4.9k|StyleGAN2 - Official TensorFlow Implementation| +|[spinningup](https://github.com/openai/spinningup)|4.9k|An educational resource to help anyone learn deep reinforcement learning.| +|[h2o-3](https://github.com/h2oai/h2o-3)|4.9k|Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBo…| +|[PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|4.9k|Build your neural network easy and fast| +|[awesome-machine-learning-on-source-code](https://github.com/src-d/awesome-machine-learning-on-source-code)|4.8k|Cool links & research papers related to Machine Learning applied to source code (MLonCode)| +|[Learning-to-See-in-the-Dark](https://github.com/cchen156/Learning-to-See-in-the-Dark)|4.8k|Learning to See in the Dark. CVPR 2018| +|[PyTorch-YOLOv3](https://github.com/eriklindernoren/PyTorch-YOLOv3)|4.8k|Minimal PyTorch implementation of YOLOv3| +|[smile](https://github.com/haifengl/smile)|4.8k|Statistical Machine Intelligence & Learning Engine| +|[keras-js](https://github.com/transcranial/keras-js)|4.7k|Run Keras models in the browser, with GPU support using WebGL| +|[PRMLT](https://github.com/PRML/PRMLT)|4.7k|Matlab code for machine learning algorithms in book PRML| +|[keras-rl](https://github.com/keras-rl/keras-rl)|4.7k|Deep Reinforcement Learning for Keras.| +|[Data-Analysis-and-Machine-Learning-Projects](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects)|4.7k|Repository of teaching materials, code, and data for my data analysis and machine learning projects.| +|[python-small-examples](https://github.com/jackzhenguo/python-small-examples)|4.7k|告别枯燥，致力于打造 Python 富有体系且实用的小例子、小案例。| +|[aerosolve](https://github.com/airbnb/aerosolve)|4.7k|A machine learning package built for humans.| +|[tensorboard](https://github.com/tensorflow/tensorboard)|4.7k|TensorFlow's Visualization Toolkit| +|[pix2pix-tensorflow](https://github.com/affinelayer/pix2pix-tensorflow)|4.7k|Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/| +|[introduction_to_ml_with_python](https://github.com/amueller/introduction_to_ml_with_python)|4.7k|Notebooks and code for the book "Introduction to Machine Learning with Python"| +|[gcn](https://github.com/tkipf/gcn)|4.7k|Implementation of Graph Convolutional Networks in TensorFlow| +|[alluxio](https://github.com/Alluxio/alluxio)|4.7k|Alluxio, data orchestration for analytics and machine learning in the cloud| +|[stargan](https://github.com/yunjey/stargan)|4.6k|StarGAN - Official PyTorch Implementation (CVPR 2018)| +|[pix2pixHD](https://github.com/NVIDIA/pix2pixHD)|4.6k|Synthesizing and manipulating 2048x1024 images with conditional GANs| +|[Data-Science-Wiki](https://github.com/Leo-G/Data-Science-Wiki)|4.6k|A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutor…| +|[machine-learning-systems-design](https://github.com/chiphuyen/machine-learning-systems-design)|4.6k|A booklet on machine learning systems design with exercises| +|[Grokking-Deep-Learning](https://github.com/iamtrask/Grokking-Deep-Learning)|4.6k|this repository accompanies the book "Grokking Deep Learning"| +|[trax](https://github.com/google/trax)|4.5k|Trax — Deep Learning with Clear Code and Speed| +|[tfjs-examples](https://github.com/tensorflow/tfjs-examples)|4.5k|Examples built with TensorFlow.js| +|[graph_nets](https://github.com/deepmind/graph_nets)|4.5k|Build Graph Nets in Tensorflow| +|[serving](https://github.com/tensorflow/serving)|4.5k|A flexible, high-performance serving system for machine learning models| +|[edward](https://github.com/blei-lab/edward)|4.5k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| +|[TensorFlow-World](https://github.com/astorfi/TensorFlow-World)|4.5k|🌎 Simple and ready-to-use tutorials for TensorFlow| +|[machine-learning-mindmap](https://github.com/dformoso/machine-learning-mindmap)|4.5k|A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.| +|[EfficientNet-PyTorch](https://github.com/lukemelas/EfficientNet-PyTorch)|4.4k|A PyTorch implementation of EfficientNet| +|[TensorFlow-Book](https://github.com/BinRoot/TensorFlow-Book)|4.4k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.| +|[stanford-cs-230-deep-learning](https://github.com/afshinea/stanford-cs-230-deep-learning)|4.4k|VIP cheatsheets for Stanford's CS 230 Deep Learning| +|[amazon-dsstne](https://github.com/amzn/amazon-dsstne)|4.4k|Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) ma…| +|[stanza](https://github.com/stanfordnlp/stanza)|4.4k|Official Stanford NLP Python Library for Many Human Languages| +|[neurojs](https://github.com/janhuenermann/neurojs)|4.3k|A JavaScript deep learning and reinforcement learning library.| +|[Real-Time-Person-Removal](https://github.com/jasonmayes/Real-Time-Person-Removal)|4.3k|Removing people from complex backgrounds in real time using TensorFlow.js in the web browser| +|[MNN](https://github.com/alibaba/MNN)|4.3k|MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba| +|[machinelearning](https://github.com/ljpzzz/machinelearning)|4.3k|My blogs and code for machine learning. http://cnblogs.com/pinard| +|[OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py)|4.3k|Open Source Neural Machine Translation in PyTorch| +|[tensorflow_practice](https://github.com/princewen/tensorflow_practice)|4.3k|tensorflow实战练习，包括强化学习、推荐系统、nlp等| +|[pytorch-cnn-visualizations](https://github.com/utkuozbulak/pytorch-cnn-visualizations)|4.2k|Pytorch implementation of convolutional neural network visualization techniques| +|[tensorspace](https://github.com/tensorspace-team/tensorspace)|4.2k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep …| +|[DeepLearningExamples](https://github.com/NVIDIA/DeepLearningExamples)|4.2k|Deep Learning Examples| +|[sketch-code](https://github.com/ashnkumar/sketch-code)|4.2k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| +|[deeplearning-papernotes](https://github.com/dennybritz/deeplearning-papernotes)|4.2k|Summaries and notes on Deep Learning research papers| +|[apex](https://github.com/NVIDIA/apex)|4.2k|A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch| +|[AlphaPose](https://github.com/MVIG-SJTU/AlphaPose)|4.1k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| +|[attention-is-all-you-need-pytorch](https://github.com/jadore801120/attention-is-all-you-need-pytorch)|4.1k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| +|[Machine-learning-learning-notes](https://github.com/Vay-keen/Machine-learning-learning-notes)|4.1k|周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有…| +|[practical-pytorch](https://github.com/spro/practical-pytorch)|4.1k|DEPRECATED and not maintained - see official repo at https://github.com/pytorch/tutorials| +|[face-alignment](https://github.com/1adrianb/face-alignment)|4k|🔥 2D and 3D Face alignment library build using pytorch| +|[learning-to-learn](https://github.com/deepmind/learning-to-learn)|4k|Learning to Learn in TensorFlow| +|[mace](https://github.com/XiaoMi/mace)|4k|MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.| +|[machine-learning-notes](https://github.com/roboticcam/machine-learning-notes)|4k|My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更…| +|[DeepLearningZeroToAll](https://github.com/hunkim/DeepLearningZeroToAll)|4k|TensorFlow Basic Tutorial Labs| +|[pipeline](https://github.com/PipelineAI/pipeline)|4k|PipelineAI Kubeflow Distribution| +|[DIGITS](https://github.com/NVIDIA/DIGITS)|4k|Deep Learning GPU Training System| +|[DataSciencePython](https://github.com/ujjwalkarn/DataSciencePython)|4k|common data analysis and machine learning tasks using python| +|[tutorials](https://github.com/pytorch/tutorials)|4k|PyTorch tutorials.| +|[awesome-project-ideas](https://github.com/NirantK/awesome-project-ideas)|4k|Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas| +|[Augmentor](https://github.com/mdbloice/Augmentor)|4k|Image augmentation library in Python for machine learning.| +|[Deep-Learning-21-Examples](https://github.com/hzy46/Deep-Learning-21-Examples)|3.9k|《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码| +|[framework](https://github.com/accord-net/framework)|3.9k|Machine learning, computer vision, statistics and general scientific computing for .NET| +|[textgenrnn](https://github.com/minimaxir/textgenrnn)|3.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| +|[DeepLearningTutorials](https://github.com/lisa-lab/DeepLearningTutorials)|3.9k|Deep Learning Tutorial notes and code. See the wiki for more info.| +|[amazon-sagemaker-examples](https://github.com/awslabs/amazon-sagemaker-examples)|3.9k|Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker| +|[dl-docker](https://github.com/floydhub/dl-docker)|3.8k|An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caff…| +|[ssd.pytorch](https://github.com/amdegroot/ssd.pytorch)|3.8k|A PyTorch Implementation of Single Shot MultiBox Detector| +|[MachineLearning](https://github.com/wepe/MachineLearning)|3.8k|Basic Machine Learning and Deep Learning| +|[Tensorflow-Tutorial](https://github.com/MorvanZhou/Tensorflow-Tutorial)|3.8k|Tensorflow tutorial from basic to hard| +|[awesome-ml-for-cybersecurity](https://github.com/jivoi/awesome-ml-for-cybersecurity)|3.8k|Machine Learning for Cyber Security| +|[awesome-production-machine-learning](https://github.com/EthicalML/awesome-production-machine-learning)|3.8k|A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning| +|[SSD-Tensorflow](https://github.com/balancap/SSD-Tensorflow)|3.8k|Single Shot MultiBox Detector in TensorFlow| +|[deep-learning-roadmap](https://github.com/machinelearningmindset/deep-learning-roadmap)|3.8k|📡 All You Need to Know About Deep Learning - A kick-starter| +|[neon](https://github.com/NervanaSystems/neon)|3.8k|Intel® Nervana™ reference deep learning framework committed to best performance on all hardware| +|[FlappyLearning](https://github.com/xviniette/FlappyLearning)|3.8k|Program learning to play Flappy Bird by machine learning (Neuroevolution)| +|[pattern_classification](https://github.com/rasbt/pattern_classification)|3.7k|A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks| +|[CapsNet-Tensorflow](https://github.com/naturomics/CapsNet-Tensorflow)|3.7k|A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules| +|[tensorflow-docs](https://github.com/xitu/tensorflow-docs)|3.7k|TensorFlow 最新官方文档中文版| +|[Yet-Another-EfficientDet-Pytorch](https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch)|3.6k|The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.| +|[pytorch-examples](https://github.com/jcjohnson/pytorch-examples)|3.6k|Simple examples to introduce PyTorch| +|[ML_for_Hackers](https://github.com/johnmyleswhite/ML_for_Hackers)|3.6k|Code accompanying the book "Machine Learning for Hackers"| +|[docs](https://github.com/tensorflow/docs)|3.6k|TensorFlow documentation| +|[tensorflow-generative-model-collections](https://github.com/hwalsuklee/tensorflow-generative-model-collections)|3.6k|Collection of generative models in Tensorflow| +|[DeepLearning.ai-Summary](https://github.com/mbadry1/DeepLearning.ai-Summary)|3.6k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…| +|[teachable-machine-v1](https://github.com/googlecreativelab/teachable-machine-v1)|3.6k|Explore how machine learning works, live in the browser. No coding required.| +|[deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch)|3.5k|Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegre…| +|[DeepLearnToolbox](https://github.com/rasmusbergpalm/DeepLearnToolbox)|3.5k|Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, …| +|[HyperLPR](https://github.com/zeusees/HyperLPR)|3.5k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| +|[deep-learning](https://github.com/udacity/deep-learning)|3.5k|Repo for the Deep Learning Nanodegree Foundations program.| +|[TensorFlowOnSpark](https://github.com/yahoo/TensorFlowOnSpark)|3.5k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| +|[dlaicourse](https://github.com/lmoroney/dlaicourse)|3.5k|Notebooks for learning deep learning| +|[BigDL](https://github.com/intel-analytics/BigDL)|3.5k|BigDL: Distributed Deep Learning Framework for Apache Spark| +|[examples](https://github.com/tensorflow/examples)|3.5k|TensorFlow examples| +|[x-deeplearning](https://github.com/alibaba/x-deeplearning)|3.4k|An industrial deep learning framework for high-dimension sparse data| +|[speech-to-text-wavenet](https://github.com/buriburisuri/speech-to-text-wavenet)|3.4k|Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow| +|[pytorch3d](https://github.com/facebookresearch/pytorch3d)|3.4k|PyTorch3D is FAIR's library of reusable components for deep learning with 3D data| +|[hands-on-ml-zh](https://github.com/apachecn/hands-on-ml-zh)|3.4k|📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】| +|[deep-reinforcement-learning](https://github.com/udacity/deep-reinforcement-learning)|3.3k|Repo for the Deep Reinforcement Learning Nanodegree program| +|[d2l-pytorch](https://github.com/dsgiitr/d2l-pytorch)|3.3k|This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.| +|[jetson-inference](https://github.com/dusty-nv/jetson-inference)|3.3k|Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDI…| +|[Chinese-BERT-wwm](https://github.com/ymcui/Chinese-BERT-wwm)|3.3k|Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）| +|[PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll)|3.3k|Simple PyTorch Tutorials Zero to ALL!| +|[DeepLearning](https://github.com/Mikoto10032/DeepLearning)|3.2k|深度学习入门教程, 优秀文章, Deep Learning Tutorial| +|[skflow](https://github.com/tensorflow/skflow)|3.2k|Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning| +|[deep-voice-conversion](https://github.com/andabi/deep-voice-conversion)|3.2k|Deep neural networks for voice conversion (voice style transfer) in Tensorflow| +|[Tensorflow-Project-Template](https://github.com/MrGemy95/Tensorflow-Project-Template)|3.2k|A best practice for tensorflow project template architecture.| +|[text-classification-cnn-rnn](https://github.com/gaussic/text-classification-cnn-rnn)|3.1k|CNN-RNN中文文本分类，基于TensorFlow| +|[MachineLearning_Python](https://github.com/lawlite19/MachineLearning_Python)|3.1k|机器学习算法python实现| +|[imagededup](https://github.com/idealo/imagededup)|3.1k|😎 Finding duplicate images made easy!| +|[machine-learning-cheat-sheet](https://github.com/soulmachine/machine-learning-cheat-sheet)|3.1k|Classical equations and diagrams in machine learning| +|[tensorflow_poems](https://github.com/jinfagang/tensorflow_poems)|3.1k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！| +|[Deep-Learning-Roadmap](https://github.com/astorfi/Deep-Learning-Roadmap)|3.1k|📡 Organized Resources for Deep Learning Researchers and Developers| +|[transformer](https://github.com/Kyubyong/transformer)|3.1k|A TensorFlow Implementation of the Transformer: Attention Is All You Need| +|[ASRT_SpeechRecognition](https://github.com/nl8590687/ASRT_SpeechRecognition)|3.1k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统| +|[keras-resources](https://github.com/fchollet/keras-resources)|3.1k|Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library| +|[Machine-Learning](https://github.com/Jack-Cherish/Machine-Learning)|3k|⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归| +|[yolact](https://github.com/dbolya/yolact)|3k|A simple, fully convolutional model for real-time instance segmentation.| +|[pytorch-cifar](https://github.com/kuangliu/pytorch-cifar)|3k|95.16% on CIFAR10 with PyTorch| +|[trfl](https://github.com/deepmind/trfl)|3k|TensorFlow Reinforcement Learning| +|[Reinforcement-Learning](https://github.com/andri27-ts/Reinforcement-Learning)|3k|Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning| +|[deep-learning-papers](https://github.com/sbrugman/deep-learning-papers)|3k|Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.| +|[distiller](https://github.com/NervanaSystems/distiller)|3k|Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasy…| +|[FastMaskRCNN](https://github.com/CharlesShang/FastMaskRCNN)|3k|Mask RCNN in TensorFlow| +|[deep-learning-papers-translation](https://github.com/SnailTyan/deep-learning-papers-translation)|2.9k|深度学习论文翻译，包括分类论文，检测论文等| +|[ml-coursera-python-assignments](https://github.com/dibgerge/ml-coursera-python-assignments)|2.9k|Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capab…| +|[darts](https://github.com/quark0/darts)|2.9k|Differentiable architecture search for convolutional and recurrent networks| +|[tensorflow-windows-wheel](https://github.com/fo40225/tensorflow-windows-wheel)|2.9k|Tensorflow prebuilt binary for Windows| +|[interpretable-ml-book](https://github.com/christophM/interpretable-ml-book)|2.9k|Book about interpretable machine learning| +|[BERT-BiLSTM-CRF-NER](https://github.com/macanv/BERT-BiLSTM-CRF-NER)|2.9k|Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services| +|[text-detection-ctpn](https://github.com/eragonruan/text-detection-ctpn)|2.9k|text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network| +|[100-Days-of-ML-Code-Chinese-Version](https://github.com/Avik-Jain/100-Days-of-ML-Code-Chinese-Version)|2.9k|Chinese Translation for Machine Learning Infographics| +|[tensorflow-tutorial](https://github.com/caicloud/tensorflow-tutorial)|2.9k|Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.| +|[MachineLearning](https://github.com/allmachinelearning/MachineLearning)|2.8k|Machine learning resources| +|[DMTK](https://github.com/microsoft/DMTK)|2.8k|Microsoft Distributed Machine Learning Toolkit| +|[interpret](https://github.com/interpretml/interpret)|2.8k|Fit interpretable models. Explain blackbox machine learning.| +|[caffe-tensorflow](https://github.com/ethereon/caffe-tensorflow)|2.8k|Caffe models in TensorFlow| +|[yellowbrick](https://github.com/DistrictDataLabs/yellowbrick)|2.8k|Visual analysis and diagnostic tools to facilitate machine learning model selection.| +|[mindsdb](https://github.com/mindsdb/mindsdb)|2.8k|Machine Learning in one line of code| +|[Tensorflow-Cookbook](https://github.com/taki0112/Tensorflow-Cookbook)|2.8k|Simple Tensorflow Cookbook for easy-to-use| |[easy-tensorflow](https://github.com/easy-tensorflow/easy-tensorflow)|2.8k|Simple and comprehensive tutorials in TensorFlow| -|[adanet](https://github.com/tensorflow/adanet)|2.8k|Fast and flexible AutoML with learning guarantees.| -|[pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)|2.8k|Create HTML profiling reports from pandas DataFrame objects| -|[handong1587.github.io](https://github.com/handong1587/handong1587.github.io)|2.7k|| -|[tensorflow_poems](https://github.com/jinfagang/tensorflow_poems)|2.7k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！| -|[BERT-pytorch](https://github.com/codertimo/BERT-pytorch)|2.7k|Google AI 2018 BERT pytorch implementation| -|[DeepLearning.ai-Summary](https://github.com/mbadry1/DeepLearning.ai-Summary)|2.7k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…| -|[DeepVideoAnalytics](https://github.com/AKSHAYUBHAT/DeepVideoAnalytics)|2.7k|A distributed visual search and visual data analytics platform.| -|[Tensorflow-Cookbook](https://github.com/taki0112/Tensorflow-Cookbook)|2.7k|Simple Tensorflow Cookbook for easy-to-use| -|[60_Days_RL_Challenge](https://github.com/andri27-ts/60_Days_RL_Challenge)|2.7k|Learn Deep Reinforcement Learning in Depth in 60 days| -|[DeepLearning](https://github.com/yusugomori/DeepLearning)|2.7k|Deep Learning (Python, C, C++, Java, Scala, Go)| -|[TensorFlowSharp](https://github.com/migueldeicaza/TensorFlowSharp)|2.7k|TensorFlow API for .NET languages| -|[gorgonia](https://github.com/gorgonia/gorgonia)|2.7k|Gorgonia is a library that helps facilitate machine learning in Go.| -|[pythia](https://github.com/facebookresearch/pythia)|2.7k|A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)| -|[MatchZoo](https://github.com/NTMC-Community/MatchZoo)|2.6k|Facilitating the design, comparison and sharing of deep text matching models.| -|[ssd.pytorch](https://github.com/amdegroot/ssd.pytorch)|2.6k|A PyTorch Implementation of Single Shot MultiBox Detector| -|[dgl](https://github.com/dmlc/dgl)|2.6k|Python package built to ease deep learning on graph, on top of existing DL frameworks.| -|[deep-learning-keras-tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow)|2.6k|Introduction to Deep Neural Networks with Keras and Tensorflow| -|[deep-learning-book](https://github.com/rasbt/deep-learning-book)|2.6k|Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …| -|[makegirlsmoe_web](https://github.com/makegirlsmoe/makegirlsmoe_web)|2.6k|Create Anime Characters with MakeGirlsMoe| -|[tf-pose-estimation](https://github.com/ildoonet/tf-pose-estimation)|2.5k|Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.| -|[gocv](https://github.com/hybridgroup/gocv)|2.5k|Go package for computer vision using OpenCV 4 and beyond.| +|[DeepLearning](https://github.com/yusugomori/DeepLearning)|2.8k|Deep Learning (Python, C, C++, Java, Scala, Go)| +|[pytorch-yolo-v3](https://github.com/ayooshkathuria/pytorch-yolo-v3)|2.8k|A PyTorch implementation of the YOLO v3 object detection algorithm| +|[jukebox](https://github.com/openai/jukebox)|2.8k|Code for the paper "Jukebox: A Generative Model for Music"| +|[deep-learning-keras-tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow)|2.8k|Introduction to Deep Neural Networks with Keras and Tensorflow| +|[Detectron.pytorch](https://github.com/roytseng-tw/Detectron.pytorch)|2.7k|A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron we…| +|[deep-learning-model-convertor](https://github.com/ysh329/deep-learning-model-convertor)|2.7k|The convertor/conversion of deep learning models for different deep learning frameworks/softwares.| +|[tensorforce](https://github.com/tensorforce/tensorforce)|2.7k|Tensorforce: a TensorFlow library for applied reinforcement learning| +|[pygcn](https://github.com/tkipf/pygcn)|2.7k|Graph Convolutional Networks in PyTorch| +|[DALI](https://github.com/NVIDIA/DALI)|2.7k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…| +|[pytorch-semseg](https://github.com/meetshah1995/pytorch-semseg)|2.7k|Semantic Segmentation Architectures Implemented in PyTorch| +|[DeepQA](https://github.com/Conchylicultor/DeepQA)|2.7k|My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot| +|[deep-learning-book](https://github.com/rasbt/deep-learning-book)|2.7k|Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …| +|[EasyOCR](https://github.com/JaidedAI/EasyOCR)|2.7k|Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai| +|[DeepSpeed](https://github.com/microsoft/DeepSpeed)|2.7k|DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.| +|[pointnet](https://github.com/charlesq34/pointnet)|2.7k|PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation| +|[Pytorch-UNet](https://github.com/milesial/Pytorch-UNet)|2.6k|PyTorch implementation of the U-Net for image semantic segmentation with high quality images| +|[Deep-Reinforcement-Learning-Algorithms-with-PyTorch](https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch)|2.6k|PyTorch implementations of deep reinforcement learning algorithms and environments| +|[albert_zh](https://github.com/brightmart/albert_zh)|2.6k|A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型| +|[deep-high-resolution-net.pytorch](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch)|2.6k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…| +|[3DDFA](https://github.com/cleardusk/3DDFA)|2.6k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| +|[VoTT](https://github.com/microsoft/VoTT)|2.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.| +|[Learn_Deep_Learning_in_6_Weeks](https://github.com/llSourcell/Learn_Deep_Learning_in_6_Weeks)|2.6k|This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube| +|[deepjazz](https://github.com/jisungk/deepjazz)|2.6k|Deep learning driven jazz generation using Keras & Theano!| +|[VisualDL](https://github.com/PaddlePaddle/VisualDL)|2.5k|Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）| +|[Production-Level-Deep-Learning](https://github.com/alirezadir/Production-Level-Deep-Learning)|2.5k|A guideline for building practical production-level deep learning systems to be deployed in real world applications.| |[NakedTensor](https://github.com/jostmey/NakedTensor)|2.5k|Bare bone examples of machine learning in TensorFlow| -|[Automatic_Speech_Recognition](https://github.com/zzw922cn/Automatic_Speech_Recognition)|2.5k|End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow| -|[DeepQA](https://github.com/Conchylicultor/DeepQA)|2.5k|My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot| -|[deepjazz](https://github.com/jisungk/deepjazz)|2.5k|Deep learning driven jazz generation using Keras & Theano!| -|[machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)|2.4k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| -|[text-classification-cnn-rnn](https://github.com/gaussic/text-classification-cnn-rnn)|2.4k|CNN-RNN中文文本分类，基于TensorFlow| -|[tensorforce](https://github.com/tensorforce/tensorforce)|2.4k|Tensorforce: a TensorFlow library for applied reinforcement learning| -|[HyperLPR](https://github.com/zeusees/HyperLPR)|2.4k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| -|[tencent-ml-images](https://github.com/Tencent/tencent-ml-images)|2.4k|Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet| -|[LSTM-Human-Activity-Recognition](https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition)|2.3k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo…| -|[neural-style-tf](https://github.com/cysmith/neural-style-tf)|2.3k|TensorFlow (Python API) implementation of Neural Style| -|[tensorwatch](https://github.com/microsoft/tensorwatch)|2.3k|Debugging, monitoring and visualization for Python Machine Learning and Data Science| -|[stanfordnlp](https://github.com/stanfordnlp/stanfordnlp)|2.3k|Official Stanford NLP Python Library for Many Human Languages| -|[VisualDL](https://github.com/PaddlePaddle/VisualDL)|2.3k|A platform to visualize the deep learning process and result.| -|[d2l-en](https://github.com/d2l-ai/d2l-en)|2.3k|Dive into Deep Learning: an interactive deep learning book with code, math, and discussions| -|[keras-vis](https://github.com/raghakot/keras-vis)|2.3k|Neural network visualization toolkit for keras| -|[pyod](https://github.com/yzhao062/pyod)|2.3k|A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)| -|[zhihu](https://github.com/NELSONZHAO/zhihu)|2.3k|This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Pyt…| -|[text-detection-ctpn](https://github.com/eragonruan/text-detection-ctpn)|2.3k|text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network| -|[training](https://github.com/cloud-annotations/training)|2.3k|🐝 Custom Object Detection and Classification Training| -|[gluon-api](https://github.com/gluon-api/gluon-api)|2.3k|A clear, concise, simple yet powerful and efficient API for deep learning.| +|[t81_558_deep_learning](https://github.com/jeffheaton/t81_558_deep_learning)|2.5k|Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks| +|[miles-deep](https://github.com/ryanjay0/miles-deep)|2.5k|Deep Learning Porn Video Classifier/Editor with Caffe| +|[mxnet-the-straight-dope](https://github.com/zackchase/mxnet-the-straight-dope)|2.5k|An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this conte…| +|[python-is-cool](https://github.com/chiphuyen/python-is-cool)|2.5k|Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / …| +|[simple-faster-rcnn-pytorch](https://github.com/chenyuntc/simple-faster-rcnn-pytorch)|2.5k|A simplified implemention of Faster R-CNN that replicate performance from origin paper| +|[LiteratureDL4Graph](https://github.com/DeepGraphLearning/LiteratureDL4Graph)|2.5k|A comprehensive collection of recent papers on graph deep learning| +|[awesome-automl-papers](https://github.com/hibayesian/awesome-automl-papers)|2.5k|A curated list of automated machine learning papers, articles, tutorials, slides and projects| +|[SinGAN](https://github.com/tamarott/SinGAN)|2.5k|Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"| +|[DeepNLP-models-Pytorch](https://github.com/DSKSD/DeepNLP-models-Pytorch)|2.4k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)| +|[Machine-Learning-with-Python](https://github.com/susanli2016/Machine-Learning-with-Python)|2.4k|Python code for common Machine Learning Algorithms| +|[stanford_dl_ex](https://github.com/amaas/stanford_dl_ex)|2.4k|Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial| +|[pytorch-summary](https://github.com/sksq96/pytorch-summary)|2.4k|Model summary in PyTorch similar to `model.summary()` in Keras| +|[DeepLearning](https://github.com/MingchaoZhu/DeepLearning)|2.4k|Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现| +|[PyTorch_Tutorial](https://github.com/TingsongYu/PyTorch_Tutorial)|2.4k|《Pytorch模型训练实用教程》中配套代码| +|[book](https://github.com/PaddlePaddle/book)|2.4k|Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）| +|[ALAE](https://github.com/podgorskiy/ALAE)|2.4k|[CVPR2020] Adversarial Latent Autoencoders| +|[pytorch-doc-zh](https://github.com/apachecn/pytorch-doc-zh)|2.4k|Pytorch 中文文档| +|[nlp-architect](https://github.com/NervanaSystems/nlp-architect)|2.4k|A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Languag…| +|[Deep_reinforcement_learning_Course](https://github.com/simoninithomas/Deep_reinforcement_learning_Course)|2.4k|Implementations from the free course Deep Reinforcement Learning with Tensorflow| +|[ML-Tutorial-Experiment](https://github.com/jiqizhixin/ML-Tutorial-Experiment)|2.4k|Coding the Machine Learning Tutorial for Learning to Learn| +|[pytorch-Deep-Learning](https://github.com/Atcold/pytorch-Deep-Learning)|2.4k|Deep Learning (with PyTorch)| +|[Dive-into-DL-TensorFlow2.0](https://github.com/TrickyGo/Dive-into-DL-TensorFlow2.0)|2.4k|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意| +|[Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials)|2.4k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| +|[rasa_core](https://github.com/RasaHQ/rasa_core)|2.3k|Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based co…| +|[Awesome-PyTorch-Chinese](https://github.com/INTERMT/Awesome-PyTorch-Chinese)|2.3k|【干货】史上最全的PyTorch学习资源汇总| +|[simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|2.3k|Simplified implementations of deep learning related works| +|[3D-ResNets-PyTorch](https://github.com/kenshohara/3D-ResNets-PyTorch)|2.3k|3D ResNets for Action Recognition (CVPR 2018)| +|[PyTorch-BigGraph](https://github.com/facebookresearch/PyTorch-BigGraph)|2.3k|Generate embeddings from large-scale graph-structured data.| +|[deep-learning-from-scratch](https://github.com/oreilly-japan/deep-learning-from-scratch)|2.3k|『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)| +|[Alink](https://github.com/alibaba/Alink)|2.3k|Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platf…| +|[introtodeeplearning](https://github.com/aamini/introtodeeplearning)|2.3k|Lab Materials for MIT 6.S191: Introduction to Deep Learning| |[TensorFlow-and-DeepLearning-Tutorial](https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial)|2.3k|A TensorFlow & Deep Learning online course I taught in 2016| -|[cvat](https://github.com/opencv/cvat)|2.3k|Powerful and efficient Computer Vision Annotation Tool (CVAT)| -|[probability](https://github.com/tensorflow/probability)|2.3k|Probabilistic reasoning and statistical analysis in TensorFlow| -|[reinforcement-learning](https://github.com/rlcode/reinforcement-learning)|2.3k|Minimal and Clean Reinforcement Learning Examples| -|[darts](https://github.com/quark0/darts)|2.2k|Differentiable architecture search for convolutional and recurrent networks| -|[luminoth](https://github.com/tryolabs/luminoth)|2.2k|Deep Learning toolkit for Computer Vision| -|[OpenNMT](https://github.com/OpenNMT/OpenNMT)|2.2k|Open Source Neural Machine Translation in Torch| -|[PocketFlow](https://github.com/Tencent/PocketFlow)|2.2k|An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.| -|[deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch)|2.1k|Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegre…| -|[DeepNLP-models-Pytorch](https://github.com/DSKSD/DeepNLP-models-Pytorch)|2.1k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)| -|[jetson-inference](https://github.com/dusty-nv/jetson-inference)|2.1k|Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.| -|[yolov3](https://github.com/ultralytics/yolov3)|2.1k|YOLOv3 in PyTorch > ONNX > CoreML > iOS| -|[colorization](https://github.com/richzhang/colorization)|2.1k|Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.| -|[pytorch-semseg](https://github.com/meetshah1995/pytorch-semseg)|2.1k|Semantic Segmentation Architectures Implemented in PyTorch| -|[ignite](https://github.com/pytorch/ignite)|2.1k|High-level library to help with training neural networks in PyTorch| -|[pointnet](https://github.com/charlesq34/pointnet)|2.1k|PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation| -|[polyaxon](https://github.com/polyaxon/polyaxon)|2.1k|A platform for reproducible and scalable machine learning and deep learning on kubernetes| -|[Faster-RCNN_TF](https://github.com/smallcorgi/Faster-RCNN_TF)|2.1k|Faster-RCNN in Tensorflow| -|[3DDFA](https://github.com/cleardusk/3DDFA)|2k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| -|[interactive-deep-colorization](https://github.com/junyanz/interactive-deep-colorization)|2k|Deep learning software for colorizing black and white images with a few clicks.| -|[tensorflow-on-raspberry-pi](https://github.com/samjabrahams/tensorflow-on-raspberry-pi)|2k|TensorFlow for Raspberry Pi| -|[nlp-architect](https://github.com/NervanaSystems/nlp-architect)|2k|NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techn…| -|[Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials)|2k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| -|[kcws](https://github.com/koth/kcws)|2k|Deep Learning Chinese Word Segment| -|[EAST](https://github.com/argman/EAST)|1.9k|A tensorflow implementation of EAST text detector| -|[Neural-Photo-Editor](https://github.com/ajbrock/Neural-Photo-Editor)|1.9k|A simple interface for editing natural photos with generative neural networks.| -|[text-to-image](https://github.com/paarthneekhara/text-to-image)|1.9k|Text to image synthesis using thought vectors| -|[ELF](https://github.com/facebookresearch/ELF)|1.9k|An End-To-End, Lightweight and Flexible Platform for Game Research| -|[rust](https://github.com/tensorflow/rust)|1.9k|Rust language bindings for TensorFlow| -|[DeepRL-Agents](https://github.com/awjuliani/DeepRL-Agents)|1.9k|A set of Deep Reinforcement Learning Agents implemented in Tensorflow.| -|[tensorflow-build](https://github.com/lakshayg/tensorflow-build)|1.9k|TensorFlow binaries supporting AVX, FMA, SSE| -|[docs](https://github.com/tensorflow/docs)|1.9k|TensorFlow documentation| -|[TensorFlow-Tutorials](https://github.com/golbin/TensorFlow-Tutorials)|1.9k|텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다| -|[deepdetect](https://github.com/jolibrain/deepdetect)|1.9k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE| -|[text](https://github.com/pytorch/text)|1.9k|Data loaders and abstractions for text and NLP| -|[srgan](https://github.com/tensorlayer/srgan)|1.9k|Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network| -|[tensorflow-speech-recognition](https://github.com/pannous/tensorflow-speech-recognition)|1.9k|🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks| -|[decaNLP](https://github.com/salesforce/decaNLP)|1.9k|The Natural Language Decathlon: A Multitask Challenge for NLP| -|[tangent](https://github.com/google/tangent)|1.9k|Source-to-Source Debuggable Derivatives in Pure Python| -|[DeepCTR](https://github.com/shenweichen/DeepCTR)|1.8k|Easy-to-use,Modular and Extendible package of deep-learning based CTR models.| -|[TensorFlow-Roadmap](https://github.com/astorfi/TensorFlow-Roadmap)|1.8k|📡 Organized & Useful Resources about Deep Learning with TensorFlow| -|[Super-SloMo](https://github.com/avinashpaliwal/Super-SloMo)|1.8k|PyTorch implementation of Super SloMo by Jiang et al.| -|[Deep_reinforcement_learning_Course](https://github.com/simoninithomas/Deep_reinforcement_learning_Course)|1.8k|Implementations from the free course Deep Reinforcement Learning with Tensorflow| -|[spotlight](https://github.com/maciejkula/spotlight)|1.8k|Deep recommender models using PyTorch.| -|[SiamMask](https://github.com/foolwood/SiamMask)|1.8k|[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach| -|[seq2seq-couplet](https://github.com/wb14123/seq2seq-couplet)|1.8k|Play couplet with seq2seq model. 用深度学习对对联。| -|[gluon-nlp](https://github.com/dmlc/gluon-nlp)|1.7k|NLP made easy| -|[keras-attention-mechanism](https://github.com/philipperemy/keras-attention-mechanism)|1.7k|Attention mechanism Implementation for Keras.| -|[Ad-papers](https://github.com/wzhe06/Ad-papers)|1.7k|Papers on Computational Advertising| -|[deep-high-resolution-net.pytorch](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch)|1.7k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…| -|[benchm-ml](https://github.com/szilard/benchm-ml)|1.7k|A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Pyt…| -|[lingvo](https://github.com/tensorflow/lingvo)|1.7k|Lingvo| -|[deepvariant](https://github.com/google/deepvariant)|1.7k|DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA…| -|[byteps](https://github.com/bytedance/byteps)|1.7k|A high performance and general PS framework for distributed training| -|[hub](https://github.com/tensorflow/hub)|1.7k|A library for transfer learning by reusing parts of TensorFlow models.| -|[deepchem](https://github.com/deepchem/deepchem)|1.7k|Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology| -|[zhusuan](https://github.com/thu-ml/zhusuan)|1.7k|A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow| -|[Bender](https://github.com/xmartlabs/Bender)|1.7k|Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.| -|[DALI](https://github.com/NVIDIA/DALI)|1.7k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…| -|[tensorflow_template_application](https://github.com/tobegit3hub/tensorflow_template_application)|1.7k|TensorFlow template application for deep learning| -|[AI-Blocks](https://github.com/MrNothing/AI-Blocks)|1.7k|A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!| -|[DeepLearn](https://github.com/GauravBh1010tt/DeepLearn)|1.7k|Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.| -|[ASRT_SpeechRecognition](https://github.com/nl8590687/ASRT_SpeechRecognition)|1.7k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统| -|[Semantic-Segmentation-Suite](https://github.com/GeorgeSeif/Semantic-Segmentation-Suite)|1.7k|Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!| -|[ai-deadlines](https://github.com/abhshkdz/ai-deadlines)|1.7k|⏰ AI conference deadline countdowns| -|[pytorch-lightning](https://github.com/williamFalcon/pytorch-lightning)|1.7k|Rapid research framework for PyTorch. The researcher's version of Keras| -|[sru](https://github.com/taolei87/sru)|1.7k|Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)| -|[Porcupine](https://github.com/Picovoice/Porcupine)|1.7k|On-device wake word detection powered by deep learning.| -|[AlphaZero_Gomoku](https://github.com/junxiaosong/AlphaZero_Gomoku)|1.7k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| -|[MUNIT](https://github.com/NVlabs/MUNIT)|1.7k|Multimodal Unsupervised Image-to-Image Translation| -|[mmlspark](https://github.com/Azure/mmlspark)|1.6k|Microsoft Machine Learning for Apache Spark| -|[transparent_latent_gan](https://github.com/SummitKwan/transparent_latent_gan)|1.6k|Use supervised learning to illuminate the latent space of GAN for controlled generation and edit| -|[Flux.jl](https://github.com/FluxML/Flux.jl)|1.6k|Relax! Flux is the ML library that doesn't make you tensor| -|[deepschool.io](https://github.com/sachinruk/deepschool.io)|1.6k|Deep Learning tutorials in jupyter notebooks.| -|[tacotron](https://github.com/keithito/tacotron)|1.6k|A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)| -|[VoTT](https://github.com/microsoft/VoTT)|1.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.| -|[euler](https://github.com/alibaba/euler)|1.6k|A distributed graph deep learning framework.| -|[nnvm](https://github.com/dmlc/nnvm)|1.6k|move to https://github.com/dmlc/tvm/| -|[dm_control](https://github.com/deepmind/dm_control)|1.6k|The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo ph…| -|[pytorch-a2c-ppo-acktr-gail](https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail)|1.5k|PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region met…| -|[Awesome-PyTorch-Chinese](https://github.com/INTERMT/Awesome-PyTorch-Chinese)|1.5k|【干货】史上最全的PyTorch学习资源汇总| -|[deep-rl-tensorflow](https://github.com/carpedm20/deep-rl-tensorflow)|1.5k|TensorFlow implementation of Deep Reinforcement Learning papers| -|[mkl-dnn](https://github.com/intel/mkl-dnn)|1.5k|Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)| -|[automl-gs](https://github.com/minimaxir/automl-gs)|1.5k|Provide an input CSV and a target field to predict, generate a model + code to run it.| -|[pytorch-summary](https://github.com/sksq96/pytorch-summary)|1.5k|Model summary in PyTorch similar to `model.summary()` in Keras| -|[3D-ResNets-PyTorch](https://github.com/kenshohara/3D-ResNets-PyTorch)|1.5k|3D ResNets for Action Recognition (CVPR 2018)| -|[chess-alpha-zero](https://github.com/Zeta36/chess-alpha-zero)|1.5k|Chess reinforcement learning by AlphaGo Zero methods.| -|[keras-yolo2](https://github.com/experiencor/keras-yolo2)|1.5k|Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon…| -|[texar](https://github.com/asyml/texar)|1.5k|Toolkit for Machine Learning and Text Generation, in TensorFlow| -|[XLearning](https://github.com/Qihoo360/XLearning)|1.5k|AI on Hadoop| -|[DeepLearningForNLPInPytorch](https://github.com/rguthrie3/DeepLearningForNLPInPytorch)|1.5k|An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.| -|[tacotron](https://github.com/Kyubyong/tacotron)|1.5k|A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model| -|[fast-wavenet](https://github.com/tomlepaine/fast-wavenet)|1.5k|Speedy Wavenet generation using dynamic programming ⚡️| -|[deep-learning-with-keras-notebooks](https://github.com/erhwenkuo/deep-learning-with-keras-notebooks)|1.5k|Jupyter notebooks for using & learning Keras| -|[sequence_tagging](https://github.com/guillaumegenthial/sequence_tagging)|1.5k|Named Entity Recognition (LSTM + CRF) - Tensorflow| -|[BigGAN-PyTorch](https://github.com/ajbrock/BigGAN-PyTorch)|1.5k|The author's officially unofficial PyTorch BigGAN implementation.| -|[donkeycar](https://github.com/autorope/donkeycar)|1.5k|Open source hardware and software platform to build a small scale self driving car.| -|[quiver](https://github.com/keplr-io/quiver)|1.5k|Interactive convnet features visualization for Keras| -|[datasets](https://github.com/tensorflow/datasets)|1.5k|A collection of datasets ready to use with TensorFlow| -|[edge-connect](https://github.com/knazeri/edge-connect)|1.4k|EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212| -|[alpha-zero-general](https://github.com/suragnair/alpha-zero-general)|1.4k|A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4| -|[coach](https://github.com/NervanaSystems/coach)|1.4k|Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learnin…| -|[AutonomousDrivingCookbook](https://github.com/microsoft/AutonomousDrivingCookbook)|1.4k|Scenarios, tutorials and demos for Autonomous Driving| -|[human-pose-estimation.pytorch](https://github.com/microsoft/human-pose-estimation.pytorch)|1.4k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| -|[GDLnotes](https://github.com/ahangchen/GDLnotes)|1.4k|Google Deep Learning Notes（TensorFlow教程）| -|[mathAI](https://github.com/Roujack/mathAI)|1.4k|一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.| -|[ml-cheatsheet](https://github.com/bfortuner/ml-cheatsheet)|1.4k|Machine learning cheatsheet| -|[zi2zi](https://github.com/kaonashi-tyc/zi2zi)|1.4k|Learning Chinese Character style with conditional GAN| -|[tensorflow-yolov3](https://github.com/YunYang1994/tensorflow-yolov3)|1.4k|🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset| -|[TensorFlow-2.x-Tutorials](https://github.com/dragen1860/TensorFlow-2.x-Tutorials)|1.4k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…| -|[seldon-server](https://github.com/SeldonIO/seldon-server)|1.4k|Machine Learning Platform and Recommendation Engine built on Kubernetes| -|[gandissect](https://github.com/CSAILVision/gandissect)|1.4k|Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/| -|[tinyflow](https://github.com/tqchen/tinyflow)|1.4k|Tutorial code on how to build your own Deep Learning System in 2k Lines| -|[zh-NER-TF](https://github.com/Determined22/zh-NER-TF)|1.4k|A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)| -|[UNIT](https://github.com/mingyuliutw/UNIT)|1.4k|Unsupervised Image-to-Image Translation| -|[PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP)|1.4k|Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)| -|[DeblurGAN](https://github.com/KupynOrest/DeblurGAN)|1.4k|Image Deblurring using Generative Adversarial Networks| -|[NeuroNER](https://github.com/Franck-Dernoncourt/NeuroNER)|1.3k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.| -|[tf_unet](https://github.com/jakeret/tf_unet)|1.3k|Generic U-Net Tensorflow implementation for image segmentation| -|[torchsample](https://github.com/ncullen93/torchsample)|1.3k|High-Level Training, Data Augmentation, and Utilities for Pytorch| -|[models](https://github.com/onnx/models)|1.3k|A collection of pre-trained, state-of-the-art models in the ONNX format| -|[CADL](https://github.com/pkmital/CADL)|1.3k|Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow…| -|[CoreML-in-ARKit](https://github.com/hanleyweng/CoreML-in-ARKit)|1.3k|Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit…| -|[DeepRecommender](https://github.com/NVIDIA/DeepRecommender)|1.3k|Deep learning for recommender systems| -|[DeepFace](https://github.com/RiweiChen/DeepFace)|1.3k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have…| -|[BerryNet](https://github.com/DT42/BerryNet)|1.3k|Deep learning gateway on Raspberry Pi and other edge devices| -|[pai](https://github.com/microsoft/pai)|1.2k|Resource scheduling and cluster management for AI| +|[ENAS-pytorch](https://github.com/carpedm20/ENAS-pytorch)|2.3k|PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"| +|[Super-SloMo](https://github.com/avinashpaliwal/Super-SloMo)|2.3k|PyTorch implementation of Super SloMo by Jiang et al.| +|[papers](https://github.com/aleju/papers)|2.2k|Summaries of machine learning papers| +|[tensorflow-without-a-phd](https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd)|2.2k|A crash course in six episodes for software developers who want to become machine learning practitioners.| +|[FCOS](https://github.com/tianzhi0549/FCOS)|2.2k|FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)| +|[deep-person-reid](https://github.com/KaiyangZhou/deep-person-reid)|2.2k|Torchreid: Deep learning person re-identification in PyTorch.| +|[Stock-Prediction-Models](https://github.com/huseinzol05/Stock-Prediction-Models)|2.2k|Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations| +|[Deep-learning-books](https://github.com/loveunk/Deep-learning-books)|2.1k|Books for machine learning, deep learning, math, NLP, CV, RL, etc| +|[BuildingMachineLearningSystemsWithPython](https://github.com/luispedro/BuildingMachineLearningSystemsWithPython)|2.1k|Source Code for the book Building Machine Learning Systems with Python| +|[pytorch-beginner](https://github.com/L1aoXingyu/pytorch-beginner)|2.1k|pytorch tutorial for beginners| +|[CHINESE-OCR](https://github.com/xiaofengShi/CHINESE-OCR)|2.1k|[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别| +|[client](https://github.com/wandb/client)|2.1k|🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.| +|[deepdetect](https://github.com/jolibrain/deepdetect)|2.1k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost an…| +|[AlphaZero_Gomoku](https://github.com/junxiaosong/AlphaZero_Gomoku)|2.1k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| +|[machinelearninginaction](https://github.com/pbharrin/machinelearninginaction)|2.1k|Source Code for the book: Machine Learning in Action published by Manning| +|[XLM](https://github.com/facebookresearch/XLM)|2.1k|PyTorch original implementation of Cross-lingual Language Model Pretraining.| +|[Person_reID_baseline_pytorch](https://github.com/layumi/Person_reID_baseline_pytorch)|2.1k|A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/…| +|[RL-Adventure](https://github.com/higgsfield/RL-Adventure)|2k|Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchic…| +|[pytorch-sentiment-analysis](https://github.com/bentrevett/pytorch-sentiment-analysis)|2k|Tutorials on getting started with PyTorch and TorchText for sentiment analysis.| +|[thinc](https://github.com/explosion/thinc)|2k|🔮 A refreshing functional take on deep learning, compatible with your favorite libraries| +|[DeepRL](https://github.com/ShangtongZhang/DeepRL)|2k|Modularized Implementation of Deep RL Algorithms in PyTorch| +|[dl-setup](https://github.com/floydhub/dl-setup)|2k|Instructions for setting up the software on your deep learning machine| +|[pytorch-generative-model-collections](https://github.com/znxlwm/pytorch-generative-model-collections)|2k|Collection of generative models in Pytorch version.| +|[tacotron2](https://github.com/NVIDIA/tacotron2)|1.9k|Tacotron 2 - PyTorch implementation with faster-than-realtime inference| +|[EasyML](https://github.com/ICT-BDA/EasyML)|1.9k|Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning …| +|[pytorch-template](https://github.com/victoresque/pytorch-template)|1.9k|PyTorch deep learning projects made easy.| +|[segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch)|1.9k|Segmentation models with pretrained backbones. PyTorch.| +|[BigGAN-PyTorch](https://github.com/ajbrock/BigGAN-PyTorch)|1.9k|The author's officially unofficial PyTorch BigGAN implementation.| +|[siamese-triplet](https://github.com/adambielski/siamese-triplet)|1.9k|Siamese and triplet networks with online pair/triplet mining in PyTorch| +|[Girls-In-AI](https://github.com/girls-in-ai/Girls-In-AI)|1.9k|免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战| +|[face.evoLVe.PyTorch](https://github.com/ZhaoJ9014/face.evoLVe.PyTorch)|1.9k|🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥| +|[human-pose-estimation.pytorch](https://github.com/microsoft/human-pose-estimation.pytorch)|1.9k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| +|[AutonomousDrivingCookbook](https://github.com/microsoft/AutonomousDrivingCookbook)|1.6k|Scenarios, tutorials and demos for Autonomous Driving| + + From f197899d3b54bad6613bfa0137787c5b73280c95 Mon Sep 17 00:00:00 2001 From: Aymeric Damien Date: Thu, 9 Jul 2020 21:12:59 -0700 Subject: [PATCH 09/10] Update README.md --- README.md | 698 ++++++++++++++++++++++++++++++++++++++++++------------ 1 file changed, 540 insertions(+), 158 deletions(-) diff --git a/README.md b/README.md index 038499f..46d0a24 100644 --- a/README.md +++ b/README.md @@ -1,176 +1,214 @@ # Top Deep Learning Projects A list of popular github projects related to deep learning (ranked by stars). -Last Update: 2020.07.08 - +Last Update: 2020.07.09 | Project Name | Stars | Description | | ------- | ------ | ------ | -|[awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning)|45.6k|A curated list of awesome Machine Learning frameworks, libraries and software.| +|[tensorflow](https://github.com/tensorflow/tensorflow)|146k|An Open Source Machine Learning Framework for Everyone| +|[keras](https://github.com/keras-team/keras)|48.9k|Deep Learning for humans| +|[opencv](https://github.com/opencv/opencv)|46.1k|Open Source Computer Vision Library| +|[pytorch](https://github.com/pytorch/pytorch)|40k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| |[TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)|38.1k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| -|[caffe](https://github.com/BVLC/caffe)|30.5k|Caffe: a fast open framework for deep learning.| +|[tesseract](https://github.com/tesseract-ocr/tesseract)|35.3k|Tesseract Open Source OCR Engine (main repository)| +|[face_recognition](https://github.com/ageitgey/face_recognition)|35.2k|The world's simplest facial recognition api for Python and the command line| +|[faceswap](https://github.com/deepfakes/faceswap)|31.4k|Deepfakes Software For All| +|[transformers](https://github.com/huggingface/transformers)|30.4k|🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.| +|[100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code)|29.1k|100 Days of ML Coding| +|[julia](https://github.com/JuliaLang/julia)|28.1k|The Julia Language: A fresh approach to technical computing.| |[gold-miner](https://github.com/xitu/gold-miner)|26.6k|🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：| -|[Deep-Learning-Papers-Reading-Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)|26.5k|Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!| +|[awesome-scalability](https://github.com/binhnguyennus/awesome-scalability)|26.6k|The Patterns of Scalable, Reliable, and Performant Large-Scale Systems| |[basics](https://github.com/madewithml/basics)|24.5k|📚 Learn ML with clean code, simplified math and illustrative visuals.| |[bert](https://github.com/google-research/bert)|23.9k|TensorFlow code and pre-trained models for BERT| |[funNLP](https://github.com/fighting41love/funNLP)|22.1k|(Machine Learning)NLP面试中常考到的知识点和代码实现、nlp4han:中文自然语言处理工具集(断句/分词/词性标注/组块/句法分析/语义分析/NER/N元语法/HMM/代词消解/情感分析/拼写检查、XLM：Face…| -|[awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers)|21.3k|The most cited deep learning papers| -|[handson-ml](https://github.com/ageron/handson-ml)|20.3k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python …| +|[xgboost](https://github.com/dmlc/xgboost)|19.4k|Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow| |[Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning)|18.4k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| -|[fastai](https://github.com/fastai/fastai)|18.3k|The fastai deep learning library, plus lessons and tutorials| +|[d2l-zh](https://github.com/d2l-ai/d2l-zh)|17.9k|《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。| +|[openpose](https://github.com/CMU-Perceptual-Computing-Lab/openpose)|17.8k|OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation| +|[Coursera-ML-AndrewNg-Notes](https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes)|17.7k|吴恩达老师的机器学习课程个人笔记| +|[DeepFaceLab](https://github.com/iperov/DeepFaceLab)|17.3k|DeepFaceLab is the leading software for creating deepfakes.| |[pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial)|17.3k|PyTorch Tutorial for Deep Learning Researchers| |[Mask_RCNN](https://github.com/matterport/Mask_RCNN)|17.2k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow| -|[ML-From-Scratch](https://github.com/eriklindernoren/ML-From-Scratch)|16.5k|Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focu…| -|[awesome-tensorflow](https://github.com/jtoy/awesome-tensorflow)|15.8k|TensorFlow - A curated list of dedicated resources http://tensorflow.org| +|[spaCy](https://github.com/explosion/spaCy)|16.8k|💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython| +|[NLP-progress](https://github.com/sebastianruder/NLP-progress)|16.2k|Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.| |[100-Days-Of-ML-Code](https://github.com/MLEveryday/100-Days-Of-ML-Code)|15.6k|100-Days-Of-ML-Code中文版| -|[awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)|15.4k|A curated list of awesome Deep Learning tutorials, projects and communities.| +|[cs-video-courses](https://github.com/Developer-Y/cs-video-courses)|14.9k|List of Computer Science courses with video lectures.| +|[WaveFunctionCollapse](https://github.com/mxgmn/WaveFunctionCollapse)|14.7k|Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics.| +|[lectures](https://github.com/oxford-cs-deepnlp-2017/lectures)|14.7k|Oxford Deep NLP 2017 course| |[reinforcement-learning](https://github.com/dennybritz/reinforcement-learning)|14.7k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| +|[pwc](https://github.com/zziz/pwc)|14.7k|Papers with code. Sorted by stars. Updated weekly.| |[TensorFlow-Course](https://github.com/machinelearningmindset/TensorFlow-Course)|14.6k|Simple and ready-to-use tutorials for TensorFlow| -|[homemade-machine-learning](https://github.com/trekhleb/homemade-machine-learning)|14.2k|🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained| +|[DeepSpeech](https://github.com/mozilla/DeepSpeech)|14.4k|A TensorFlow implementation of Baidu's DeepSpeech architecture| +|[pumpkin-book](https://github.com/datawhalechina/pumpkin-book)|14k|《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book| +|[tfjs](https://github.com/tensorflow/tfjs)|13.5k|A WebGL accelerated JavaScript library for training and deploying ML models.| |[examples](https://github.com/pytorch/examples)|13.5k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.| -|[cheatsheets-ai](https://github.com/kailashahirwar/cheatsheets-ai)|13.4k|Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essentia…| +|[openface](https://github.com/cmusatyalab/openface)|13.5k|Face recognition with deep neural networks.| |[Qix](https://github.com/ty4z2008/Qix)|13.3k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang| -|[deeplearning-models](https://github.com/rasbt/deeplearning-models)|12.7k|A collection of various deep learning architectures, models, and tips| +|[spleeter](https://github.com/deezer/spleeter)|12.7k|Deezer source separation library including pretrained models.| |[Virgilio](https://github.com/virgili0/Virgilio)|12.7k|Your new Mentor for Data Science E-Learning.| |[nndl.github.io](https://github.com/nndl/nndl.github.io)|12.7k|《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning| +|[Screenshot-to-code](https://github.com/emilwallner/Screenshot-to-code)|12.7k|A neural network that transforms a design mock-up into a static website.| |[pytorch-CycleGAN-and-pix2pix](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix)|12.4k|Image-to-Image Translation in PyTorch| -|[predictionio](https://github.com/apache/predictionio)|12.4k|PredictionIO, a machine learning server for developers and ML engineers.| |[pytorch-handbook](https://github.com/zergtant/pytorch-handbook)|11.9k|pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行| -|[tensorflow-zh](https://github.com/jikexueyuanwiki/tensorflow-zh)|11.8k|谷歌全新开源人工智能系统TensorFlow官方文档中文版| +|[gun](https://github.com/amark/gun)|11.9k|An open source cybersecurity protocol for syncing decentralized graph data.| |[Paddle](https://github.com/PaddlePaddle/Paddle)|11.8k|PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训…| +|[tensorflow-zh](https://github.com/jikexueyuanwiki/tensorflow-zh)|11.8k|谷歌全新开源人工智能系统TensorFlow官方文档中文版| +|[darknet](https://github.com/AlexeyAB/darknet)|11.4k|YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )| +|[learnopencv](https://github.com/spmallick/learnopencv)|11.4k|Learn OpenCV : C++ and Python Examples| |[neural-networks-and-deep-learning](https://github.com/mnielsen/neural-networks-and-deep-learning)|11.3k|Code samples for my book "Neural Networks and Deep Learning"| -|[deep-learning-with-python-notebooks](https://github.com/fchollet/deep-learning-with-python-notebooks)|10.8k|Jupyter notebooks for the code samples of the book "Deep Learning with Python"| +|[google-research](https://github.com/google-research/google-research)|11.2k|Google Research| +|[labelImg](https://github.com/tzutalin/labelImg)|11.2k|🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images| +|[gensim](https://github.com/RaRe-Technologies/gensim)|11k|Topic Modelling for Humans| +|[pix2code](https://github.com/tonybeltramelli/pix2code)|10.9k|pix2code: Generating Code from a Graphical User Interface Screenshot| |[facenet](https://github.com/davidsandberg/facenet)|10.8k|Face recognition using Tensorflow| |[DeOldify](https://github.com/jantic/DeOldify)|10.7k|A Deep Learning based project for colorizing and restoring old images (and video!)| |[python-machine-learning-book](https://github.com/rasbt/python-machine-learning-book)|10.7k|The "Python Machine Learning (1st edition)" book code repository and info resource| |[stanford-cs-229-machine-learning](https://github.com/afshinea/stanford-cs-229-machine-learning)|10.6k|VIP cheatsheets for Stanford's CS 229 Machine Learning| -|[Machine-Learning-Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials)|10.4k|machine learning and deep learning tutorials, articles and other resources| +|[mmdetection](https://github.com/open-mmlab/mmdetection)|10.5k|OpenMMLab Detection Toolbox and Benchmark| +|[face-api.js](https://github.com/justadudewhohacks/face-api.js)|10.4k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js| |[Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)|10.4k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…| -|[FastPhotoStyle](https://github.com/NVIDIA/FastPhotoStyle)|10.3k|Style transfer, deep learning, feature transform| -|[tensor2tensor](https://github.com/tensorflow/tensor2tensor)|10.2k|Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.| -|[dive-into-machine-learning](https://github.com/hangtwenty/dive-into-machine-learning)|10k|Dive into Machine Learning with Python Jupyter notebook and scikit-learn!| +|[nsfw_data_scraper](https://github.com/alex000kim/nsfw_data_scraper)|10.2k|Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier| |[convnetjs](https://github.com/karpathy/convnetjs)|10k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.| +|[CycleGAN](https://github.com/junyanz/CycleGAN)|9.8k|Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.| +|[streamlit](https://github.com/streamlit/streamlit)|9.8k|Streamlit — The fastest way to build data apps in Python| +|[DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|9.7k|Decensoring Hentai with Deep Neural Networks| |[stylegan](https://github.com/NVlabs/stylegan)|9.7k|StyleGAN - Official TensorFlow Implementation| |[Dive-into-DL-PyTorch](https://github.com/ShusenTang/Dive-into-DL-PyTorch)|9.6k|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。| -|[DeepCreamPy](https://github.com/deeppomf/DeepCreamPy)|9.6k|Decensoring Hentai with Deep Neural Networks| |[stanford-tensorflow-tutorials](https://github.com/chiphuyen/stanford-tensorflow-tutorials)|9.6k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| |[horovod](https://github.com/horovod/horovod)|9.6k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| -|[imgaug](https://github.com/aleju/imgaug)|9.5k|Image augmentation for machine learning experiments.| |[Deep-Learning-with-TensorFlow-book](https://github.com/dragen1860/Deep-Learning-with-TensorFlow-book)|9.4k|深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.| +|[neural-doodle](https://github.com/alexjc/neural-doodle)|9.4k|Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)| +|[caire](https://github.com/esimov/caire)|9.3k|Content aware image resize library| |[fast-style-transfer](https://github.com/lengstrom/fast-style-transfer)|9.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| -|[ncnn](https://github.com/Tencent/ncnn)|9.1k|ncnn is a high-performance neural network inference framework optimized for the mobile platform| -|[awesome-deep-vision](https://github.com/kjw0612/awesome-deep-vision)|9.1k|A curated list of deep learning resources for computer vision| +|[ncnn](https://github.com/Tencent/ncnn)|9.2k|ncnn is a high-performance neural network inference framework optimized for the mobile platform| +|[kubeflow](https://github.com/kubeflow/kubeflow)|9.1k|Machine Learning Toolkit for Kubernetes| +|[nltk](https://github.com/nltk/nltk)|9k|NLTK Source| +|[flair](https://github.com/flairNLP/flair)|9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)| |[ml-agents](https://github.com/Unity-Technologies/ml-agents)|9k|Unity Machine Learning Agents Toolkit| -|[conv_arithmetic](https://github.com/vdumoulin/conv_arithmetic)|9k|A technical report on convolution arithmetic in the context of deep learning| -|[state-of-the-art-result-for-machine-learning-problems](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems)|9k|This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep th…| -|[dopamine](https://github.com/google/dopamine)|8.9k|Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.| -|[numpy-ml](https://github.com/ddbourgin/numpy-ml)|8.8k|Machine learning, in numpy| +|[allennlp](https://github.com/allenai/allennlp)|8.8k|An open-source NLP research library, built on PyTorch.| +|[botpress](https://github.com/botpress/botpress)|8.8k|🤖 The Conversational Platform with built-in language understanding (NLU), beautiful graphical interface and Dialog Manager (DM). Easily create chatbots and AI-based virtual assistants.| +|[the-gan-zoo](https://github.com/hindupuravinash/the-gan-zoo)|8.7k|A list of all named GANs!| |[EffectiveTensorflow](https://github.com/vahidk/EffectiveTensorflow)|8.6k|TensorFlow tutorials and best practices.| -|[handson-ml2](https://github.com/ageron/handson-ml2)|8.6k|A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python …| +|[tfjs-core](https://github.com/tensorflow/tfjs-core)|8.5k|WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.| +|[fairseq](https://github.com/pytorch/fairseq)|8.4k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| |[sonnet](https://github.com/deepmind/sonnet)|8.4k|TensorFlow-based neural network library| -|[deep_learning_object_detection](https://github.com/hoya012/deep_learning_object_detection)|8.4k|A paper list of object detection using deep learning.| |[mit-deep-learning-book-pdf](https://github.com/janishar/mit-deep-learning-book-pdf)|8.3k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| |[TensorFlow-Tutorials](https://github.com/Hvass-Labs/TensorFlow-Tutorials)|8.3k|TensorFlow Tutorials with YouTube Videos| |[pytorch_geometric](https://github.com/rusty1s/pytorch_geometric)|8.2k|Geometric Deep Learning Extension Library for PyTorch| |[tutorials](https://github.com/MorvanZhou/tutorials)|8.2k|机器学习相关教程| -|[deep-learning-drizzle](https://github.com/kmario23/deep-learning-drizzle)|8.1k|Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from…| -|[MLAlgorithms](https://github.com/rushter/MLAlgorithms)|8.1k|Minimal and clean examples of machine learning algorithms implementations| +|[fashion-mnist](https://github.com/zalandoresearch/fashion-mnist)|8k|A MNIST-like fashion product database. Benchmark 👉| |[bert-as-service](https://github.com/hanxiao/bert-as-service)|7.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model| -|[lime](https://github.com/marcotcr/lime)|7.7k|Lime: Explaining the predictions of any machine learning classifier| +|[pix2pix](https://github.com/phillipi/pix2pix)|7.8k|Image-to-image translation with conditional adversarial nets| +|[mediapipe](https://github.com/google/mediapipe)|7.7k|MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.| +|[recommenders](https://github.com/microsoft/recommenders)|7.7k|Best Practices on Recommendation Systems| |[mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)|7.7k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| -|[pattern](https://github.com/clips/pattern)|7.5k|Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysi…| -|[C-Plus-Plus](https://github.com/TheAlgorithms/C-Plus-Plus)|7.5k|Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ fo…| +|[pytorch-book](https://github.com/chenyuntc/pytorch-book)|7.6k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)| +|[Winds](https://github.com/GetStream/Winds)|7.6k|A Beautiful Open Source RSS & Podcast App Powered by Getstream.io| |[vid2vid](https://github.com/NVIDIA/vid2vid)|7.4k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| -|[tpot](https://github.com/EpistasisLab/tpot)|7.3k|A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.| |[Learn_Machine_Learning_in_3_Months](https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months)|7.3k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube| |[golearn](https://github.com/sjwhitworth/golearn)|7.3k|Machine Learning for Go| +|[Keras-GAN](https://github.com/eriklindernoren/Keras-GAN)|7.2k|Keras implementations of Generative Adversarial Networks.| |[mlcourse.ai](https://github.com/Yorko/mlcourse.ai)|7k|Open Machine Learning Course| |[faceai](https://github.com/vipstone/faceai)|7k|一款入门级的人脸、视频、文字检测以及识别的项目.| +|[pysc2](https://github.com/deepmind/pysc2)|6.9k|StarCraft II Learning Environment| +|[pretrained-models.pytorch](https://github.com/Cadene/pretrained-models.pytorch)|6.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.| |[PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN)|6.7k|PyTorch implementations of Generative Adversarial Networks.| +|[vision](https://github.com/pytorch/vision)|6.7k|Datasets, Transforms and Models specific to Computer Vision| |[nlp-tutorial](https://github.com/graykode/nlp-tutorial)|6.6k|Natural Language Processing Tutorial for Deep Learning Researchers| |[bullet3](https://github.com/bulletphysics/bullet3)|6.6k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| +|[DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow)|6.6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"| |[tfjs-models](https://github.com/tensorflow/tfjs-models)|6.5k|Pretrained models for TensorFlow.js| +|[abu](https://github.com/bbfamily/abu)|6.5k|阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构| +|[pytorch-lightning](https://github.com/PyTorchLightning/pytorch-lightning)|6.5k|The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate| |[tensorboardX](https://github.com/lanpa/tensorboardX)|6.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| -|[deep-learning-models](https://github.com/fchollet/deep-learning-models)|6.4k|Keras code and weights files for popular deep learning models.| |[machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)|6.4k|💬 Machine Learning Course with Python:| -|[text_classification](https://github.com/brightmart/text_classification)|6.3k|all kinds of text classification models and more with deep learning| -|[d2l-en](https://github.com/d2l-ai/d2l-en)|6.2k|Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.| +|[guess](https://github.com/guess-js/guess)|6.3k|🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web| +|[pyro](https://github.com/pyro-ppl/pyro)|6.3k|Deep universal probabilistic programming with Python and PyTorch| +|[lab](https://github.com/deepmind/lab)|6.2k|A customisable 3D platform for agent-based AI research| |[mml-book.github.io](https://github.com/mml-book/mml-book.github.io)|6.2k|Companion webpage to the book "Mathematics For Machine Learning"| +|[Interview](https://github.com/apachecn/Interview)|6.2k|Interview = 简历指南 + LeetCode + Kaggle| |[tensorlayer](https://github.com/tensorlayer/tensorlayer)|6.2k|Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥| |[generative-models](https://github.com/wiseodd/generative-models)|6.1k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| |[machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)|6.1k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| -|[deep-image-prior](https://github.com/DmitryUlyanov/deep-image-prior)|6k|Image restoration with neural networks but without learning.| |[keras-yolo3](https://github.com/qqwweee/keras-yolo3)|6k|A Keras implementation of YOLOv3 (Tensorflow backend)| -|[TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.9k|Simple tutorials using Google's TensorFlow Framework| +|[BossSensor](https://github.com/Hironsan/BossSensor)|5.9k|Hide screen when boss is approaching.| |[tensorflow2_tutorials_chinese](https://github.com/czy36mengfei/tensorflow2_tutorials_chinese)|5.9k|tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials| +|[TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)|5.9k|Simple tutorials using Google's TensorFlow Framework| +|[argo](https://github.com/argoproj/argo)|5.9k|Argo Workflows: Get stuff done with Kubernetes.| |[python-machine-learning-book-2nd-edition](https://github.com/rasbt/python-machine-learning-book-2nd-edition)|5.8k|The "Python Machine Learning (2nd edition)" book code repository and info resource| -|[Swift-AI](https://github.com/Swift-AI/Swift-AI)|5.7k|The Swift machine learning library.| -|[DeepLearningFlappyBird](https://github.com/yenchenlin/DeepLearningFlappyBird)|5.7k|Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).| -|[the-incredible-pytorch](https://github.com/ritchieng/the-incredible-pytorch)|5.7k|The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.| -|[awesome-object-detection](https://github.com/amusi/awesome-object-detection)|5.6k|Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-d…| -|[deepo](https://github.com/ufoym/deepo)|5.6k|Set up deep learning environment in a single command line.| +|[dvc](https://github.com/iterative/dvc)|5.7k|🦉Data Version Control | Git for Data & Models| +|[EasyPR](https://github.com/liuruoze/EasyPR)|5.7k|An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.| +|[AdversarialNetsPapers](https://github.com/zhangqianhui/AdversarialNetsPapers)|5.6k|The classical paper list with code about generative adversarial nets| |[tensorpack](https://github.com/tensorpack/tensorpack)|5.6k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility| +|[photoprism](https://github.com/photoprism/photoprism)|5.6k|Personal Photo Management powered by Go and Google TensorFlow| +|[tensorflow_cookbook](https://github.com/nfmcclure/tensorflow_cookbook)|5.6k|Code for Tensorflow Machine Learning Cookbook| +|[albumentations](https://github.com/albumentations-team/albumentations)|5.6k|fast image augmentation library and easy to use wrapper around other libraries| +|[swift](https://github.com/tensorflow/swift)|5.6k|Swift for TensorFlow| +|[darkflow](https://github.com/thtrieu/darkflow)|5.6k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices| |[tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)|5.5k|From the basics to slightly more interesting applications of Tensorflow| -|[incubator-tvm](https://github.com/apache/incubator-tvm)|5.5k|Open deep learning compiler stack for cpu, gpu and specialized accelerators| -|[nmt](https://github.com/tensorflow/nmt)|5.5k|TensorFlow Neural Machine Translation Tutorial| -|[ML-NLP](https://github.com/NLP-LOVE/ML-NLP)|5.5k|此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。| |[deep-learning-coursera](https://github.com/Kulbear/deep-learning-coursera)|5.5k|Deep Learning Specialization by Andrew Ng on Coursera.| +|[transferlearning](https://github.com/jindongwang/transferlearning)|5.5k|Everything about Transfer Learning and Domain Adaptation--迁移学习| +|[ML-NLP](https://github.com/NLP-LOVE/ML-NLP)|5.5k|此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。| +|[nmt](https://github.com/tensorflow/nmt)|5.5k|TensorFlow Neural Machine Translation Tutorial| +|[faster-rcnn.pytorch](https://github.com/jwyang/faster-rcnn.pytorch)|5.5k|A faster pytorch implementation of faster r-cnn| |[UGATIT](https://github.com/taki0112/UGATIT)|5.4k|Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Inst…| +|[pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)|5.4k|Create HTML profiling reports from pandas DataFrame objects| |[deep-residual-networks](https://github.com/KaimingHe/deep-residual-networks)|5.4k|Deep Residual Learning for Image Recognition| -|[chainer](https://github.com/chainer/chainer)|5.4k|A flexible framework of neural networks for deep learning| |[xlnet](https://github.com/zihangdai/xlnet)|5.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| -|[3D-Machine-Learning](https://github.com/timzhang642/3D-Machine-Learning)|5.3k|A resource repository for 3D machine learning| -|[Reinforcement-learning-with-tensorflow](https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow)|5.3k|Simple Reinforcement learning tutorials| +|[leeml-notes](https://github.com/datawhalechina/leeml-notes)|5.2k|李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes| +|[wav2letter](https://github.com/facebookresearch/wav2letter)|5.2k|Facebook AI Research's Automatic Speech Recognition Toolkit| |[neural-style](https://github.com/anishathalye/neural-style)|5.2k|Neural style in TensorFlow! 🎨| +|[CVPR2020-Paper-Code-Interpretation](https://github.com/extreme-assistant/CVPR2020-Paper-Code-Interpretation)|5.2k|cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理| |[TensorFlow-2.x-Tutorials](https://github.com/dragen1860/TensorFlow-2.x-Tutorials)|5.2k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…| -|[industry-machine-learning](https://github.com/firmai/industry-machine-learning)|5.2k|A curated list of applied machine learning and data science notebooks and libraries across different industries (by @…| +|[yolov3](https://github.com/ultralytics/yolov3)|5.2k|YOLOv3 in PyTorch > ONNX > CoreML > iOS| |[cnn-text-classification-tf](https://github.com/dennybritz/cnn-text-classification-tf)|5.2k|Convolutional Neural Network for Text Classification in Tensorflow| -|[machine_learning_examples](https://github.com/lazyprogrammer/machine_learning_examples)|5.2k|A collection of machine learning examples and tutorials.| +|[seq2seq](https://github.com/google/seq2seq)|5.2k|A general-purpose encoder-decoder framework for Tensorflow| |[chineseocr_lite](https://github.com/ouyanghuiyu/chineseocr_lite)|5.1k|超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M| -|[srez](https://github.com/david-gpu/srez)|5.1k|Image super-resolution through deep learning| -|[tiny-dnn](https://github.com/tiny-dnn/tiny-dnn)|5.1k|header only, dependency-free deep learning framework in C++14| -|[TopDeepLearning](https://github.com/aymericdamien/TopDeepLearning)|4.9k|A list of popular github projects related to deep learning| +|[featuretools](https://github.com/FeatureLabs/featuretools)|5k|An open source python library for automated feature engineering| +|[labelme](https://github.com/wkentaro/labelme)|5k|Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).| +|[ImageAI](https://github.com/OlafenwaMoses/ImageAI)|5k|A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities| +|[nlp-recipes](https://github.com/microsoft/nlp-recipes)|5k|Natural Language Processing Best Practices & Examples| |[have-fun-with-machine-learning](https://github.com/humphd/have-fun-with-machine-learning)|4.9k|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks| +|[eat_tensorflow2_in_30_days](https://github.com/lyhue1991/eat_tensorflow2_in_30_days)|4.9k|Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋| |[tensorflow-wavenet](https://github.com/ibab/tensorflow-wavenet)|4.9k|A TensorFlow implementation of DeepMind's WaveNet paper| +|[PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|4.9k|Build your neural network easy and fast| |[stylegan2](https://github.com/NVlabs/stylegan2)|4.9k|StyleGAN2 - Official TensorFlow Implementation| -|[spinningup](https://github.com/openai/spinningup)|4.9k|An educational resource to help anyone learn deep reinforcement learning.| |[h2o-3](https://github.com/h2oai/h2o-3)|4.9k|Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBo…| -|[PyTorch-Tutorial](https://github.com/MorvanZhou/PyTorch-Tutorial)|4.9k|Build your neural network easy and fast| |[awesome-machine-learning-on-source-code](https://github.com/src-d/awesome-machine-learning-on-source-code)|4.8k|Cool links & research papers related to Machine Learning applied to source code (MLonCode)| |[Learning-to-See-in-the-Dark](https://github.com/cchen156/Learning-to-See-in-the-Dark)|4.8k|Learning to See in the Dark. CVPR 2018| |[PyTorch-YOLOv3](https://github.com/eriklindernoren/PyTorch-YOLOv3)|4.8k|Minimal PyTorch implementation of YOLOv3| +|[first-order-model](https://github.com/AliaksandrSiarohin/first-order-model)|4.8k|This repository contains the source code for the paper First Order Motion Model for Image Animation| +|[models](https://github.com/PaddlePaddle/models)|4.8k|Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）| |[smile](https://github.com/haifengl/smile)|4.8k|Statistical Machine Intelligence & Learning Engine| |[keras-js](https://github.com/transcranial/keras-js)|4.7k|Run Keras models in the browser, with GPU support using WebGL| -|[PRMLT](https://github.com/PRML/PRMLT)|4.7k|Matlab code for machine learning algorithms in book PRML| +|[carla](https://github.com/carla-simulator/carla)|4.7k|Open-source simulator for autonomous driving research.| |[keras-rl](https://github.com/keras-rl/keras-rl)|4.7k|Deep Reinforcement Learning for Keras.| -|[Data-Analysis-and-Machine-Learning-Projects](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects)|4.7k|Repository of teaching materials, code, and data for my data analysis and machine learning projects.| +|[useful-java-links](https://github.com/Vedenin/useful-java-links)|4.7k|A list of useful Java frameworks, libraries, software and hello worlds examples| +|[Awesome-CoreML-Models](https://github.com/likedan/Awesome-CoreML-Models)|4.7k|Largest list of models for Core ML (for iOS 11+)| |[python-small-examples](https://github.com/jackzhenguo/python-small-examples)|4.7k|告别枯燥，致力于打造 Python 富有体系且实用的小例子、小案例。| -|[aerosolve](https://github.com/airbnb/aerosolve)|4.7k|A machine learning package built for humans.| -|[tensorboard](https://github.com/tensorflow/tensorboard)|4.7k|TensorFlow's Visualization Toolkit| -|[pix2pix-tensorflow](https://github.com/affinelayer/pix2pix-tensorflow)|4.7k|Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/| -|[introduction_to_ml_with_python](https://github.com/amueller/introduction_to_ml_with_python)|4.7k|Notebooks and code for the book "Introduction to Machine Learning with Python"| |[gcn](https://github.com/tkipf/gcn)|4.7k|Implementation of Graph Convolutional Networks in TensorFlow| -|[alluxio](https://github.com/Alluxio/alluxio)|4.7k|Alluxio, data orchestration for analytics and machine learning in the cloud| +|[introduction_to_ml_with_python](https://github.com/amueller/introduction_to_ml_with_python)|4.7k|Notebooks and code for the book "Introduction to Machine Learning with Python"| |[stargan](https://github.com/yunjey/stargan)|4.6k|StarGAN - Official PyTorch Implementation (CVPR 2018)| |[pix2pixHD](https://github.com/NVIDIA/pix2pixHD)|4.6k|Synthesizing and manipulating 2048x1024 images with conditional GANs| |[Data-Science-Wiki](https://github.com/Leo-G/Data-Science-Wiki)|4.6k|A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutor…| -|[machine-learning-systems-design](https://github.com/chiphuyen/machine-learning-systems-design)|4.6k|A booklet on machine learning systems design with exercises| +|[MVision](https://github.com/Ewenwan/MVision)|4.6k|机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶| +|[cleverhans](https://github.com/tensorflow/cleverhans)|4.6k|An adversarial example library for constructing attacks, building defenses, and benchmarking both| +|[vaex](https://github.com/vaexio/vaex)|4.6k|Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀| |[Grokking-Deep-Learning](https://github.com/iamtrask/Grokking-Deep-Learning)|4.6k|this repository accompanies the book "Grokking Deep Learning"| |[trax](https://github.com/google/trax)|4.5k|Trax — Deep Learning with Clear Code and Speed| -|[tfjs-examples](https://github.com/tensorflow/tfjs-examples)|4.5k|Examples built with TensorFlow.js| |[graph_nets](https://github.com/deepmind/graph_nets)|4.5k|Build Graph Nets in Tensorflow| -|[serving](https://github.com/tensorflow/serving)|4.5k|A flexible, high-performance serving system for machine learning models| |[edward](https://github.com/blei-lab/edward)|4.5k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| |[TensorFlow-World](https://github.com/astorfi/TensorFlow-World)|4.5k|🌎 Simple and ready-to-use tutorials for TensorFlow| +|[imbalanced-learn](https://github.com/scikit-learn-contrib/imbalanced-learn)|4.5k|A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning| |[machine-learning-mindmap](https://github.com/dformoso/machine-learning-mindmap)|4.5k|A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.| +|[seq2seq-couplet](https://github.com/wb14123/seq2seq-couplet)|4.5k|Play couplet with seq2seq model. 用深度学习对对联。| |[EfficientNet-PyTorch](https://github.com/lukemelas/EfficientNet-PyTorch)|4.4k|A PyTorch implementation of EfficientNet| |[TensorFlow-Book](https://github.com/BinRoot/TensorFlow-Book)|4.4k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.| -|[stanford-cs-230-deep-learning](https://github.com/afshinea/stanford-cs-230-deep-learning)|4.4k|VIP cheatsheets for Stanford's CS 230 Deep Learning| -|[amazon-dsstne](https://github.com/amzn/amazon-dsstne)|4.4k|Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) ma…| |[stanza](https://github.com/stanfordnlp/stanza)|4.4k|Official Stanford NLP Python Library for Many Human Languages| -|[neurojs](https://github.com/janhuenermann/neurojs)|4.3k|A JavaScript deep learning and reinforcement learning library.| +|[amazon-dsstne](https://github.com/amzn/amazon-dsstne)|4.4k|Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) ma…| +|[cnn-explainer](https://github.com/poloclub/cnn-explainer)|4.4k|Learning Convolutional Neural Networks with Interactive Visualization.| +|[Realtime_Multi-Person_Pose_Estimation](https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation)|4.4k|Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)| +|[stanford-cs-230-deep-learning](https://github.com/afshinea/stanford-cs-230-deep-learning)|4.3k|VIP cheatsheets for Stanford's CS 230 Deep Learning| |[Real-Time-Person-Removal](https://github.com/jasonmayes/Real-Time-Person-Removal)|4.3k|Removing people from complex backgrounds in real time using TensorFlow.js in the web browser| -|[MNN](https://github.com/alibaba/MNN)|4.3k|MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba| -|[machinelearning](https://github.com/ljpzzz/machinelearning)|4.3k|My blogs and code for machine learning. http://cnblogs.com/pinard| |[OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py)|4.3k|Open Source Neural Machine Translation in PyTorch| |[tensorflow_practice](https://github.com/princewen/tensorflow_practice)|4.3k|tensorflow实战练习，包括强化学习、推荐系统、nlp等| |[pytorch-cnn-visualizations](https://github.com/utkuozbulak/pytorch-cnn-visualizations)|4.2k|Pytorch implementation of convolutional neural network visualization techniques| @@ -181,189 +219,533 @@ Last Update: 2020.07.08 |[apex](https://github.com/NVIDIA/apex)|4.2k|A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch| |[AlphaPose](https://github.com/MVIG-SJTU/AlphaPose)|4.1k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| |[attention-is-all-you-need-pytorch](https://github.com/jadore801120/attention-is-all-you-need-pytorch)|4.1k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| +|[nmap](https://github.com/nmap/nmap)|4.1k|Nmap - the Network Mapper. Github mirror of official SVN repository.| |[Machine-learning-learning-notes](https://github.com/Vay-keen/Machine-learning-learning-notes)|4.1k|周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有…| +|[serenata-de-amor](https://github.com/okfn-brasil/serenata-de-amor)|4.1k|🕵 Artificial Intelligence for social control of public administration| |[practical-pytorch](https://github.com/spro/practical-pytorch)|4.1k|DEPRECATED and not maintained - see official repo at https://github.com/pytorch/tutorials| +|[pytorch-image-models](https://github.com/rwightman/pytorch-image-models)|4.1k|PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more| |[face-alignment](https://github.com/1adrianb/face-alignment)|4k|🔥 2D and 3D Face alignment library build using pytorch| |[learning-to-learn](https://github.com/deepmind/learning-to-learn)|4k|Learning to Learn in TensorFlow| -|[mace](https://github.com/XiaoMi/mace)|4k|MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.| |[machine-learning-notes](https://github.com/roboticcam/machine-learning-notes)|4k|My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更…| +|[umap](https://github.com/lmcinnes/umap)|4k|Uniform Manifold Approximation and Projection| |[DeepLearningZeroToAll](https://github.com/hunkim/DeepLearningZeroToAll)|4k|TensorFlow Basic Tutorial Labs| +|[gluon-cv](https://github.com/dmlc/gluon-cv)|4k|Gluon CV Toolkit| |[pipeline](https://github.com/PipelineAI/pipeline)|4k|PipelineAI Kubeflow Distribution| +|[snorkel](https://github.com/snorkel-team/snorkel)|4k|A system for quickly generating training data with weak supervision| |[DIGITS](https://github.com/NVIDIA/DIGITS)|4k|Deep Learning GPU Training System| -|[DataSciencePython](https://github.com/ujjwalkarn/DataSciencePython)|4k|common data analysis and machine learning tasks using python| -|[tutorials](https://github.com/pytorch/tutorials)|4k|PyTorch tutorials.| +|[DenseNet](https://github.com/liuzhuang13/DenseNet)|4k|Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).| |[awesome-project-ideas](https://github.com/NirantK/awesome-project-ideas)|4k|Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas| -|[Augmentor](https://github.com/mdbloice/Augmentor)|4k|Image augmentation library in Python for machine learning.| +|[tutorials](https://github.com/pytorch/tutorials)|4k|PyTorch tutorials.| |[Deep-Learning-21-Examples](https://github.com/hzy46/Deep-Learning-21-Examples)|3.9k|《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码| -|[framework](https://github.com/accord-net/framework)|3.9k|Machine learning, computer vision, statistics and general scientific computing for .NET| -|[textgenrnn](https://github.com/minimaxir/textgenrnn)|3.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| |[DeepLearningTutorials](https://github.com/lisa-lab/DeepLearningTutorials)|3.9k|Deep Learning Tutorial notes and code. See the wiki for more info.| -|[amazon-sagemaker-examples](https://github.com/awslabs/amazon-sagemaker-examples)|3.9k|Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker| -|[dl-docker](https://github.com/floydhub/dl-docker)|3.8k|An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caff…| +|[textgenrnn](https://github.com/minimaxir/textgenrnn)|3.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| +|[lucid](https://github.com/tensorflow/lucid)|3.8k|A collection of infrastructure and tools for research in neural network interpretability.| +|[nsfwjs](https://github.com/infinitered/nsfwjs)|3.8k|NSFW detection on the client-side via TensorFlow.js| |[ssd.pytorch](https://github.com/amdegroot/ssd.pytorch)|3.8k|A PyTorch Implementation of Single Shot MultiBox Detector| |[MachineLearning](https://github.com/wepe/MachineLearning)|3.8k|Basic Machine Learning and Deep Learning| |[Tensorflow-Tutorial](https://github.com/MorvanZhou/Tensorflow-Tutorial)|3.8k|Tensorflow tutorial from basic to hard| |[awesome-ml-for-cybersecurity](https://github.com/jivoi/awesome-ml-for-cybersecurity)|3.8k|Machine Learning for Cyber Security| -|[awesome-production-machine-learning](https://github.com/EthicalML/awesome-production-machine-learning)|3.8k|A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning| +|[daily-paper-computer-vision](https://github.com/amusi/daily-paper-computer-vision)|3.8k|记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文| |[SSD-Tensorflow](https://github.com/balancap/SSD-Tensorflow)|3.8k|Single Shot MultiBox Detector in TensorFlow| +|[cvat](https://github.com/opencv/cvat)|3.8k|Powerful and efficient Computer Vision Annotation Tool (CVAT)| |[deep-learning-roadmap](https://github.com/machinelearningmindset/deep-learning-roadmap)|3.8k|📡 All You Need to Know About Deep Learning - A kick-starter| -|[neon](https://github.com/NervanaSystems/neon)|3.8k|Intel® Nervana™ reference deep learning framework committed to best performance on all hardware| -|[FlappyLearning](https://github.com/xviniette/FlappyLearning)|3.8k|Program learning to play Flappy Bird by machine learning (Neuroevolution)| -|[pattern_classification](https://github.com/rasbt/pattern_classification)|3.7k|A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks| -|[CapsNet-Tensorflow](https://github.com/naturomics/CapsNet-Tensorflow)|3.7k|A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules| +|[sqlflow](https://github.com/sql-machine-learning/sqlflow)|3.8k|Brings SQL and AI together.| +|[mmf](https://github.com/facebookresearch/mmf)|3.7k|A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)| |[tensorflow-docs](https://github.com/xitu/tensorflow-docs)|3.7k|TensorFlow 最新官方文档中文版| +|[iGAN](https://github.com/junyanz/iGAN)|3.7k|Interactive Image Generation via Generative Adversarial Networks| +|[CapsNet-Tensorflow](https://github.com/naturomics/CapsNet-Tensorflow)|3.7k|A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules| |[Yet-Another-EfficientDet-Pytorch](https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch)|3.6k|The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.| |[pytorch-examples](https://github.com/jcjohnson/pytorch-examples)|3.6k|Simple examples to introduce PyTorch| |[ML_for_Hackers](https://github.com/johnmyleswhite/ML_for_Hackers)|3.6k|Code accompanying the book "Machine Learning for Hackers"| |[docs](https://github.com/tensorflow/docs)|3.6k|TensorFlow documentation| |[tensorflow-generative-model-collections](https://github.com/hwalsuklee/tensorflow-generative-model-collections)|3.6k|Collection of generative models in Tensorflow| |[DeepLearning.ai-Summary](https://github.com/mbadry1/DeepLearning.ai-Summary)|3.6k|This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed ever…| -|[teachable-machine-v1](https://github.com/googlecreativelab/teachable-machine-v1)|3.6k|Explore how machine learning works, live in the browser. No coding required.| -|[deep-learning-v2-pytorch](https://github.com/udacity/deep-learning-v2-pytorch)|3.5k|Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegre…| -|[DeepLearnToolbox](https://github.com/rasmusbergpalm/DeepLearnToolbox)|3.5k|Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, …| +|[BERT-pytorch](https://github.com/codertimo/BERT-pytorch)|3.6k|Google AI 2018 BERT pytorch implementation| +|[pwnagotchi](https://github.com/evilsocket/pwnagotchi)|3.5k|(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.| |[HyperLPR](https://github.com/zeusees/HyperLPR)|3.5k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| |[deep-learning](https://github.com/udacity/deep-learning)|3.5k|Repo for the Deep Learning Nanodegree Foundations program.| |[TensorFlowOnSpark](https://github.com/yahoo/TensorFlowOnSpark)|3.5k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| -|[dlaicourse](https://github.com/lmoroney/dlaicourse)|3.5k|Notebooks for learning deep learning| |[BigDL](https://github.com/intel-analytics/BigDL)|3.5k|BigDL: Distributed Deep Learning Framework for Apache Spark| +|[AlgoWiki](https://github.com/vicky002/AlgoWiki)|3.5k|Repository which contains links and resources on different topics of Computer Science.| |[examples](https://github.com/tensorflow/examples)|3.5k|TensorFlow examples| -|[x-deeplearning](https://github.com/alibaba/x-deeplearning)|3.4k|An industrial deep learning framework for high-dimension sparse data| -|[speech-to-text-wavenet](https://github.com/buriburisuri/speech-to-text-wavenet)|3.4k|Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow| -|[pytorch3d](https://github.com/facebookresearch/pytorch3d)|3.4k|PyTorch3D is FAIR's library of reusable components for deep learning with 3D data| -|[hands-on-ml-zh](https://github.com/apachecn/hands-on-ml-zh)|3.4k|📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】| +|[tf-faster-rcnn](https://github.com/endernewton/tf-faster-rcnn)|3.4k|Tensorflow Faster RCNN for Object Detection| +|[tf-pose-estimation](https://github.com/ildoonet/tf-pose-estimation)|3.4k|Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.| +|[awesome-machine-learning-cn](https://github.com/jobbole/awesome-machine-learning-cn)|3.4k|机器学习资源大全中文版，包括机器学习领域的框架、库以及软件| +|[metaflow](https://github.com/Netflix/metaflow)|3.4k|Build and manage real-life data science projects with ease.| |[deep-reinforcement-learning](https://github.com/udacity/deep-reinforcement-learning)|3.3k|Repo for the Deep Reinforcement Learning Nanodegree program| +|[semantic-segmentation-pytorch](https://github.com/CSAILVision/semantic-segmentation-pytorch)|3.3k|Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset| +|[gocv](https://github.com/hybridgroup/gocv)|3.3k|Go package for computer vision using OpenCV 4 and beyond.| |[d2l-pytorch](https://github.com/dsgiitr/d2l-pytorch)|3.3k|This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.| -|[jetson-inference](https://github.com/dusty-nv/jetson-inference)|3.3k|Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDI…| |[Chinese-BERT-wwm](https://github.com/ymcui/Chinese-BERT-wwm)|3.3k|Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）| +|[SmartCropper](https://github.com/pqpo/SmartCropper)|3.3k|🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自动识别边框，手动调节选区，使用透视变换裁剪并矫正选区；适用于身份证，名片，文档等照片的裁剪。| |[PyTorchZeroToAll](https://github.com/hunkim/PyTorchZeroToAll)|3.3k|Simple PyTorch Tutorials Zero to ALL!| +|[pyAudioAnalysis](https://github.com/tyiannak/pyAudioAnalysis)|3.3k|Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications| +|[InterpretableMLBook](https://github.com/MingchaoZhu/InterpretableMLBook)|3.3k|《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版| +|[snips-nlu](https://github.com/snipsco/snips-nlu)|3.3k|Snips Python library to extract meaning from text| +|[pyod](https://github.com/yzhao062/pyod)|3.3k|A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)| |[DeepLearning](https://github.com/Mikoto10032/DeepLearning)|3.2k|深度学习入门教程, 优秀文章, Deep Learning Tutorial| -|[skflow](https://github.com/tensorflow/skflow)|3.2k|Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning| +|[vespa](https://github.com/vespa-engine/vespa)|3.2k|Vespa is an engine for low-latency computation over large data sets.| |[deep-voice-conversion](https://github.com/andabi/deep-voice-conversion)|3.2k|Deep neural networks for voice conversion (voice style transfer) in Tensorflow| +|[lightfm](https://github.com/lyst/lightfm)|3.2k|A Python implementation of LightFM, a hybrid recommendation algorithm.| +|[machine-learning](https://github.com/udacity/machine-learning)|3.2k|Content for Udacity's Machine Learning curriculum| +|[skflow](https://github.com/tensorflow/skflow)|3.2k|Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning| |[Tensorflow-Project-Template](https://github.com/MrGemy95/Tensorflow-Project-Template)|3.2k|A best practice for tensorflow project template architecture.| +|[EasyOCR](https://github.com/JaidedAI/EasyOCR)|3.2k|Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai| |[text-classification-cnn-rnn](https://github.com/gaussic/text-classification-cnn-rnn)|3.1k|CNN-RNN中文文本分类，基于TensorFlow| |[MachineLearning_Python](https://github.com/lawlite19/MachineLearning_Python)|3.1k|机器学习算法python实现| |[imagededup](https://github.com/idealo/imagededup)|3.1k|😎 Finding duplicate images made easy!| -|[machine-learning-cheat-sheet](https://github.com/soulmachine/machine-learning-cheat-sheet)|3.1k|Classical equations and diagrams in machine learning| +|[MatchZoo](https://github.com/NTMC-Community/MatchZoo)|3.1k|Facilitating the design, comparison and sharing of deep text matching models.| +|[transformer](https://github.com/Kyubyong/transformer)|3.1k|A TensorFlow Implementation of the Transformer: Attention Is All You Need| |[tensorflow_poems](https://github.com/jinfagang/tensorflow_poems)|3.1k|中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！| |[Deep-Learning-Roadmap](https://github.com/astorfi/Deep-Learning-Roadmap)|3.1k|📡 Organized Resources for Deep Learning Researchers and Developers| -|[transformer](https://github.com/Kyubyong/transformer)|3.1k|A TensorFlow Implementation of the Transformer: Attention Is All You Need| +|[label-studio](https://github.com/heartexlabs/label-studio)|3.1k|Label Studio is a multi-type data labeling and annotation tool with standardized output format| |[ASRT_SpeechRecognition](https://github.com/nl8590687/ASRT_SpeechRecognition)|3.1k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统| -|[keras-resources](https://github.com/fchollet/keras-resources)|3.1k|Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library| +|[benchmark_results](https://github.com/foolwood/benchmark_results)|3.1k|Visual Tracking Paper List| |[Machine-Learning](https://github.com/Jack-Cherish/Machine-Learning)|3k|⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归| |[yolact](https://github.com/dbolya/yolact)|3k|A simple, fully convolutional model for real-time instance segmentation.| -|[pytorch-cifar](https://github.com/kuangliu/pytorch-cifar)|3k|95.16% on CIFAR10 with PyTorch| |[trfl](https://github.com/deepmind/trfl)|3k|TensorFlow Reinforcement Learning| +|[pytorch-cifar](https://github.com/kuangliu/pytorch-cifar)|3k|95.16% on CIFAR10 with PyTorch| +|[sacred](https://github.com/IDSIA/sacred)|3k|Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.| +|[yolov5](https://github.com/ultralytics/yolov5)|3k|YOLOv5 in PyTorch > ONNX > CoreML > iOS| |[Reinforcement-Learning](https://github.com/andri27-ts/Reinforcement-Learning)|3k|Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning| -|[deep-learning-papers](https://github.com/sbrugman/deep-learning-papers)|3k|Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.| |[distiller](https://github.com/NervanaSystems/distiller)|3k|Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasy…| |[FastMaskRCNN](https://github.com/CharlesShang/FastMaskRCNN)|3k|Mask RCNN in TensorFlow| -|[deep-learning-papers-translation](https://github.com/SnailTyan/deep-learning-papers-translation)|2.9k|深度学习论文翻译，包括分类论文，检测论文等| -|[ml-coursera-python-assignments](https://github.com/dibgerge/ml-coursera-python-assignments)|2.9k|Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capab…| +|[probability](https://github.com/tensorflow/probability)|3k|Probabilistic reasoning and statistical analysis in TensorFlow| +|[DeepVideoAnalytics](https://github.com/AKSHAYUBHAT/DeepVideoAnalytics)|2.9k|A distributed visual search and visual data analytics platform.| +|[tensorwatch](https://github.com/microsoft/tensorwatch)|2.9k|Debugging, monitoring and visualization for Python Machine Learning and Data Science| |[darts](https://github.com/quark0/darts)|2.9k|Differentiable architecture search for convolutional and recurrent networks| +|[computervision-recipes](https://github.com/microsoft/computervision-recipes)|2.9k|Best Practices, code samples, and documentation for Computer Vision.| +|[text-detection-ctpn](https://github.com/eragonruan/text-detection-ctpn)|2.9k|text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network| |[tensorflow-windows-wheel](https://github.com/fo40225/tensorflow-windows-wheel)|2.9k|Tensorflow prebuilt binary for Windows| -|[interpretable-ml-book](https://github.com/christophM/interpretable-ml-book)|2.9k|Book about interpretable machine learning| +|[tensorflow-yolov3](https://github.com/YunYang1994/tensorflow-yolov3)|2.9k|🔥 Pure tensorflow Implement of YOLOv3 with support to train your own dataset| +|[zhihu](https://github.com/NELSONZHAO/zhihu)|2.9k|This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.| |[BERT-BiLSTM-CRF-NER](https://github.com/macanv/BERT-BiLSTM-CRF-NER)|2.9k|Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services| -|[text-detection-ctpn](https://github.com/eragonruan/text-detection-ctpn)|2.9k|text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network| -|[100-Days-of-ML-Code-Chinese-Version](https://github.com/Avik-Jain/100-Days-of-ML-Code-Chinese-Version)|2.9k|Chinese Translation for Machine Learning Infographics| +|[TensorFlowSharp](https://github.com/migueldeicaza/TensorFlowSharp)|2.9k|TensorFlow API for .NET languages| +|[ignite](https://github.com/pytorch/ignite)|2.9k|High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.| |[tensorflow-tutorial](https://github.com/caicloud/tensorflow-tutorial)|2.9k|Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.| -|[MachineLearning](https://github.com/allmachinelearning/MachineLearning)|2.8k|Machine learning resources| +|[100-Days-of-ML-Code-Chinese-Version](https://github.com/Avik-Jain/100-Days-of-ML-Code-Chinese-Version)|2.9k|Chinese Translation for Machine Learning Infographics| +|[deep-learning-papers-translation](https://github.com/SnailTyan/deep-learning-papers-translation)|2.9k|深度学习论文翻译，包括分类论文，检测论文等| |[DMTK](https://github.com/microsoft/DMTK)|2.8k|Microsoft Distributed Machine Learning Toolkit| -|[interpret](https://github.com/interpretml/interpret)|2.8k|Fit interpretable models. Explain blackbox machine learning.| |[caffe-tensorflow](https://github.com/ethereon/caffe-tensorflow)|2.8k|Caffe models in TensorFlow| -|[yellowbrick](https://github.com/DistrictDataLabs/yellowbrick)|2.8k|Visual analysis and diagnostic tools to facilitate machine learning model selection.| +|[libpostal](https://github.com/openvenues/libpostal)|2.8k|A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.| +|[pigo](https://github.com/esimov/pigo)|2.8k|Pure Go face detection, pupil/eyes localization and facial landmark points detection library| |[mindsdb](https://github.com/mindsdb/mindsdb)|2.8k|Machine Learning in one line of code| |[Tensorflow-Cookbook](https://github.com/taki0112/Tensorflow-Cookbook)|2.8k|Simple Tensorflow Cookbook for easy-to-use| |[easy-tensorflow](https://github.com/easy-tensorflow/easy-tensorflow)|2.8k|Simple and comprehensive tutorials in TensorFlow| |[DeepLearning](https://github.com/yusugomori/DeepLearning)|2.8k|Deep Learning (Python, C, C++, Java, Scala, Go)| |[pytorch-yolo-v3](https://github.com/ayooshkathuria/pytorch-yolo-v3)|2.8k|A PyTorch implementation of the YOLO v3 object detection algorithm| |[jukebox](https://github.com/openai/jukebox)|2.8k|Code for the paper "Jukebox: A Generative Model for Music"| +|[makegirlsmoe_web](https://github.com/makegirlsmoe/makegirlsmoe_web)|2.8k|Create Anime Characters with MakeGirlsMoe| |[deep-learning-keras-tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow)|2.8k|Introduction to Deep Neural Networks with Keras and Tensorflow| -|[Detectron.pytorch](https://github.com/roytseng-tw/Detectron.pytorch)|2.7k|A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron we…| -|[deep-learning-model-convertor](https://github.com/ysh329/deep-learning-model-convertor)|2.7k|The convertor/conversion of deep learning models for different deep learning frameworks/softwares.| -|[tensorforce](https://github.com/tensorforce/tensorforce)|2.7k|Tensorforce: a TensorFlow library for applied reinforcement learning| -|[pygcn](https://github.com/tkipf/pygcn)|2.7k|Graph Convolutional Networks in PyTorch| +|[SiamMask](https://github.com/foolwood/SiamMask)|2.7k|[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach| +|[tencent-ml-images](https://github.com/Tencent/tencent-ml-images)|2.7k|Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet| |[DALI](https://github.com/NVIDIA/DALI)|2.7k|A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep le…| +|[shogun](https://github.com/shogun-toolbox/shogun)|2.7k|Shōgun| +|[optuna](https://github.com/optuna/optuna)|2.7k|A hyperparameter optimization framework| +|[Automatic_Speech_Recognition](https://github.com/zzw922cn/Automatic_Speech_Recognition)|2.7k|End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow| |[pytorch-semseg](https://github.com/meetshah1995/pytorch-semseg)|2.7k|Semantic Segmentation Architectures Implemented in PyTorch| -|[DeepQA](https://github.com/Conchylicultor/DeepQA)|2.7k|My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot| +|[pygcn](https://github.com/tkipf/pygcn)|2.7k|Graph Convolutional Networks in PyTorch| |[deep-learning-book](https://github.com/rasbt/deep-learning-book)|2.7k|Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in …| -|[EasyOCR](https://github.com/JaidedAI/EasyOCR)|2.7k|Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai| -|[DeepSpeed](https://github.com/microsoft/DeepSpeed)|2.7k|DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.| |[pointnet](https://github.com/charlesq34/pointnet)|2.7k|PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation| +|[CVPR2020-Code](https://github.com/amusi/CVPR2020-Code)|2.7k|CVPR 2020 论文开源项目合集| +|[Detectron.pytorch](https://github.com/roytseng-tw/Detectron.pytorch)|2.7k|A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron we…| +|[LSTM-Human-Activity-Recognition](https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition)|2.6k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier| +|[neural-style-tf](https://github.com/cysmith/neural-style-tf)|2.6k|TensorFlow (Python API) implementation of Neural Style| |[Pytorch-UNet](https://github.com/milesial/Pytorch-UNet)|2.6k|PyTorch implementation of the U-Net for image semantic segmentation with high quality images| -|[Deep-Reinforcement-Learning-Algorithms-with-PyTorch](https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch)|2.6k|PyTorch implementations of deep reinforcement learning algorithms and environments| -|[albert_zh](https://github.com/brightmart/albert_zh)|2.6k|A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型| +|[kornia](https://github.com/kornia/kornia)|2.6k|Open Source Differentiable Computer Vision Library for PyTorch| +|[Ad-papers](https://github.com/wzhe06/Ad-papers)|2.6k|Papers on Computational Advertising| |[deep-high-resolution-net.pytorch](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch)|2.6k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…| -|[3DDFA](https://github.com/cleardusk/3DDFA)|2.6k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| |[VoTT](https://github.com/microsoft/VoTT)|2.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.| +|[espnet](https://github.com/espnet/espnet)|2.6k|End-to-End Speech Processing Toolkit| +|[ltp](https://github.com/HIT-SCIR/ltp)|2.6k|Language Technology Platform| |[Learn_Deep_Learning_in_6_Weeks](https://github.com/llSourcell/Learn_Deep_Learning_in_6_Weeks)|2.6k|This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube| -|[deepjazz](https://github.com/jisungk/deepjazz)|2.6k|Deep learning driven jazz generation using Keras & Theano!| +|[keras-vis](https://github.com/raghakot/keras-vis)|2.6k|Neural network visualization toolkit for keras| +|[onnxruntime](https://github.com/microsoft/onnxruntime)|2.6k|ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator| +|[3DDFA](https://github.com/cleardusk/3DDFA)|2.6k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| +|[olivia](https://github.com/olivia-ai/olivia)|2.6k|💁‍♀️Your new best friend powered by an artificial neural network| +|[albert_zh](https://github.com/brightmart/albert_zh)|2.6k|A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型| +|[ai-deadlines](https://github.com/abhshkdz/ai-deadlines)|2.6k|⏰ AI conference deadline countdowns| +|[opencvsharp](https://github.com/shimat/opencvsharp)|2.5k|.NET Framework wrapper for OpenCV| +|[telegram-list](https://github.com/goq/telegram-list)|2.5k|List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов| +|[easy12306](https://github.com/zhaipro/easy12306)|2.5k|使用机器学习算法完成对12306验证码的自动识别| +|[rust](https://github.com/tensorflow/rust)|2.5k|Rust language bindings for TensorFlow| +|[miles-deep](https://github.com/ryanjay0/miles-deep)|2.5k|Deep Learning Porn Video Classifier/Editor with Caffe| |[VisualDL](https://github.com/PaddlePaddle/VisualDL)|2.5k|Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）| -|[Production-Level-Deep-Learning](https://github.com/alirezadir/Production-Level-Deep-Learning)|2.5k|A guideline for building practical production-level deep learning systems to be deployed in real world applications.| -|[NakedTensor](https://github.com/jostmey/NakedTensor)|2.5k|Bare bone examples of machine learning in TensorFlow| +|[SinGAN](https://github.com/tamarott/SinGAN)|2.5k|Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"| |[t81_558_deep_learning](https://github.com/jeffheaton/t81_558_deep_learning)|2.5k|Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks| -|[miles-deep](https://github.com/ryanjay0/miles-deep)|2.5k|Deep Learning Porn Video Classifier/Editor with Caffe| -|[mxnet-the-straight-dope](https://github.com/zackchase/mxnet-the-straight-dope)|2.5k|An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this conte…| -|[python-is-cool](https://github.com/chiphuyen/python-is-cool)|2.5k|Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / …| +|[training](https://github.com/cloud-annotations/training)|2.5k|🐝 Custom Object Detection and Classification Training| +|[PocketFlow](https://github.com/Tencent/PocketFlow)|2.5k|An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.| +|[autogluon](https://github.com/awslabs/autogluon)|2.5k|AutoGluon: AutoML Toolkit for Deep Learning| |[simple-faster-rcnn-pytorch](https://github.com/chenyuntc/simple-faster-rcnn-pytorch)|2.5k|A simplified implemention of Faster R-CNN that replicate performance from origin paper| -|[LiteratureDL4Graph](https://github.com/DeepGraphLearning/LiteratureDL4Graph)|2.5k|A comprehensive collection of recent papers on graph deep learning| -|[awesome-automl-papers](https://github.com/hibayesian/awesome-automl-papers)|2.5k|A curated list of automated machine learning papers, articles, tutorials, slides and projects| -|[SinGAN](https://github.com/tamarott/SinGAN)|2.5k|Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"| +|[MITIE](https://github.com/mit-nlp/MITIE)|2.5k|MITIE: library and tools for information extraction| +|[reinforcement-learning](https://github.com/rlcode/reinforcement-learning)|2.5k|Minimal and Clean Reinforcement Learning Examples| +|[ISLR-python](https://github.com/JWarmenhoven/ISLR-python)|2.4k|An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code| +|[EAST](https://github.com/argman/EAST)|2.4k|A tensorflow implementation of EAST text detector| |[DeepNLP-models-Pytorch](https://github.com/DSKSD/DeepNLP-models-Pytorch)|2.4k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)| |[Machine-Learning-with-Python](https://github.com/susanli2016/Machine-Learning-with-Python)|2.4k|Python code for common Machine Learning Algorithms| |[stanford_dl_ex](https://github.com/amaas/stanford_dl_ex)|2.4k|Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial| -|[pytorch-summary](https://github.com/sksq96/pytorch-summary)|2.4k|Model summary in PyTorch similar to `model.summary()` in Keras| +|[tensorflow-internals](https://github.com/horance-liu/tensorflow-internals)|2.4k|It is open source ebook about TensorFlow kernel and implementation mechanism.| |[DeepLearning](https://github.com/MingchaoZhu/DeepLearning)|2.4k|Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现| -|[PyTorch_Tutorial](https://github.com/TingsongYu/PyTorch_Tutorial)|2.4k|《Pytorch模型训练实用教程》中配套代码| -|[book](https://github.com/PaddlePaddle/book)|2.4k|Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）| +|[text](https://github.com/pytorch/text)|2.4k|Data loaders and abstractions for text and NLP| |[ALAE](https://github.com/podgorskiy/ALAE)|2.4k|[CVPR2020] Adversarial Latent Autoencoders| +|[pytorch-summary](https://github.com/sksq96/pytorch-summary)|2.4k|Model summary in PyTorch similar to `model.summary()` in Keras| |[pytorch-doc-zh](https://github.com/apachecn/pytorch-doc-zh)|2.4k|Pytorch 中文文档| -|[nlp-architect](https://github.com/NervanaSystems/nlp-architect)|2.4k|A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Languag…| |[Deep_reinforcement_learning_Course](https://github.com/simoninithomas/Deep_reinforcement_learning_Course)|2.4k|Implementations from the free course Deep Reinforcement Learning with Tensorflow| |[ML-Tutorial-Experiment](https://github.com/jiqizhixin/ML-Tutorial-Experiment)|2.4k|Coding the Machine Learning Tutorial for Learning to Learn| |[pytorch-Deep-Learning](https://github.com/Atcold/pytorch-Deep-Learning)|2.4k|Deep Learning (with PyTorch)| +|[models](https://github.com/onnx/models)|2.4k|A collection of pre-trained, state-of-the-art models in the ONNX format| +|[book](https://github.com/PaddlePaddle/book)|2.4k|Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）| +|[PyTorch_Tutorial](https://github.com/TingsongYu/PyTorch_Tutorial)|2.4k|《Pytorch模型训练实用教程》中配套代码| |[Dive-into-DL-TensorFlow2.0](https://github.com/TrickyGo/Dive-into-DL-TensorFlow2.0)|2.4k|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意| |[Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials](https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials)|2.4k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| -|[rasa_core](https://github.com/RasaHQ/rasa_core)|2.3k|Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based co…| +|[segmentation_models](https://github.com/qubvel/segmentation_models)|2.4k|Segmentation models with pretrained backbones. Keras and TensorFlow Keras.| |[Awesome-PyTorch-Chinese](https://github.com/INTERMT/Awesome-PyTorch-Chinese)|2.3k|【干货】史上最全的PyTorch学习资源汇总| -|[simplified-deeplearning](https://github.com/exacity/simplified-deeplearning)|2.3k|Simplified implementations of deep learning related works| -|[3D-ResNets-PyTorch](https://github.com/kenshohara/3D-ResNets-PyTorch)|2.3k|3D ResNets for Action Recognition (CVPR 2018)| +|[Flux.jl](https://github.com/FluxML/Flux.jl)|2.3k|Relax! Flux is the ML library that doesn't make you tensor| +|[weld](https://github.com/weld-project/weld)|2.3k|High-performance runtime for data analytics applications| |[PyTorch-BigGraph](https://github.com/facebookresearch/PyTorch-BigGraph)|2.3k|Generate embeddings from large-scale graph-structured data.| -|[deep-learning-from-scratch](https://github.com/oreilly-japan/deep-learning-from-scratch)|2.3k|『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)| +|[byteps](https://github.com/bytedance/byteps)|2.3k|A high performance and generic framework for distributed DNN training| +|[AI-Job-Notes](https://github.com/amusi/AI-Job-Notes)|2.3k|AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）| +|[luminoth](https://github.com/tryolabs/luminoth)|2.3k|⚠️ UNMAINTAINED. Deep Learning toolkit for Computer Vision.| |[Alink](https://github.com/alibaba/Alink)|2.3k|Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platf…| |[introtodeeplearning](https://github.com/aamini/introtodeeplearning)|2.3k|Lab Materials for MIT 6.S191: Introduction to Deep Learning| |[TensorFlow-and-DeepLearning-Tutorial](https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial)|2.3k|A TensorFlow & Deep Learning online course I taught in 2016| -|[ENAS-pytorch](https://github.com/carpedm20/ENAS-pytorch)|2.3k|PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"| +|[srgan](https://github.com/tensorlayer/srgan)|2.3k|Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network| +|[colorization](https://github.com/richzhang/colorization)|2.3k|Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.| +|[OpenNMT](https://github.com/OpenNMT/OpenNMT)|2.3k|Open Source Neural Machine Translation in Torch (deprecated)| |[Super-SloMo](https://github.com/avinashpaliwal/Super-SloMo)|2.3k|PyTorch implementation of Super SloMo by Jiang et al.| -|[papers](https://github.com/aleju/papers)|2.2k|Summaries of machine learning papers| -|[tensorflow-without-a-phd](https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd)|2.2k|A crash course in six episodes for software developers who want to become machine learning practitioners.| +|[orange3](https://github.com/biolab/orange3)|2.3k|🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si| +|[ENAS-pytorch](https://github.com/carpedm20/ENAS-pytorch)|2.3k|PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"| +|[3D-ResNets-PyTorch](https://github.com/kenshohara/3D-ResNets-PyTorch)|2.3k|3D ResNets for Action Recognition (CVPR 2018)| +|[pomegranate](https://github.com/jmschrei/pomegranate)|2.3k|Fast, flexible and easy to use probabilistic modelling in Python.| +|[Faster-RCNN_TF](https://github.com/smallcorgi/Faster-RCNN_TF)|2.3k|Faster-RCNN in Tensorflow| +|[datascience](https://github.com/r0f1/datascience)|2.3k|Curated list of Python resources for data science.| +|[deep-learning-from-scratch](https://github.com/oreilly-japan/deep-learning-from-scratch)|2.3k|『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)| +|[covid-chestxray-dataset](https://github.com/ieee8023/covid-chestxray-dataset)|2.2k|We are building an open database of COVID-19 cases with chest X-ray or CT images.| +|[deepchem](https://github.com/deepchem/deepchem)|2.2k|Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology| +|[awesome-learning-resources](https://github.com/lauragift21/awesome-learning-resources)|2.2k|🔥 Awesome list of resources on Web Development.| +|[omniscidb](https://github.com/omnisci/omniscidb)|2.2k|OmniSciDB (formerly MapD Core)| +|[tablesaw](https://github.com/jtablesaw/tablesaw)|2.2k|Java dataframe and visualization library| +|[Semantic-Segmentation-Suite](https://github.com/GeorgeSeif/Semantic-Segmentation-Suite)|2.2k|Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!| |[FCOS](https://github.com/tianzhi0549/FCOS)|2.2k|FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)| -|[deep-person-reid](https://github.com/KaiyangZhou/deep-person-reid)|2.2k|Torchreid: Deep learning person re-identification in PyTorch.| -|[Stock-Prediction-Models](https://github.com/huseinzol05/Stock-Prediction-Models)|2.2k|Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations| -|[Deep-learning-books](https://github.com/loveunk/Deep-learning-books)|2.1k|Books for machine learning, deep learning, math, NLP, CV, RL, etc| +|[spotlight](https://github.com/maciejkula/spotlight)|2.2k|Deep recommender models using PyTorch.| +|[datasets](https://github.com/tensorflow/datasets)|2.2k|TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...| +|[Deep-Learning-for-Recommendation-Systems](https://github.com/robi56/Deep-Learning-for-Recommendation-Systems)|2.2k|This repository contains Deep Learning based articles , paper and repositories for Recommender Systems| +|[gluon-nlp](https://github.com/dmlc/gluon-nlp)|2.1k|NLP made easy| +|[dowhy](https://github.com/microsoft/dowhy)|2.1k|DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.| +|[keras-attention-mechanism](https://github.com/philipperemy/keras-attention-mechanism)|2.1k|Attention mechanism Implementation for Keras.| +|[Meta-Learning-Papers](https://github.com/floodsung/Meta-Learning-Papers)|2.1k|Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning| +|[tacotron](https://github.com/keithito/tacotron)|2.1k|A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)| +|[machinelearninginaction](https://github.com/pbharrin/machinelearninginaction)|2.1k|Source Code for the book: Machine Learning in Action published by Manning| |[BuildingMachineLearningSystemsWithPython](https://github.com/luispedro/BuildingMachineLearningSystemsWithPython)|2.1k|Source Code for the book Building Machine Learning Systems with Python| -|[pytorch-beginner](https://github.com/L1aoXingyu/pytorch-beginner)|2.1k|pytorch tutorial for beginners| |[CHINESE-OCR](https://github.com/xiaofengShi/CHINESE-OCR)|2.1k|[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别| -|[client](https://github.com/wandb/client)|2.1k|🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.| |[deepdetect](https://github.com/jolibrain/deepdetect)|2.1k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost an…| -|[AlphaZero_Gomoku](https://github.com/junxiaosong/AlphaZero_Gomoku)|2.1k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| -|[machinelearninginaction](https://github.com/pbharrin/machinelearninginaction)|2.1k|Source Code for the book: Machine Learning in Action published by Manning| |[XLM](https://github.com/facebookresearch/XLM)|2.1k|PyTorch original implementation of Cross-lingual Language Model Pretraining.| +|[tensorflow-on-raspberry-pi](https://github.com/samjabrahams/tensorflow-on-raspberry-pi)|2.1k|TensorFlow for Raspberry Pi| +|[decaNLP](https://github.com/salesforce/decaNLP)|2.1k|The Natural Language Decathlon: A Multitask Challenge for NLP| +|[AlphaZero_Gomoku](https://github.com/junxiaosong/AlphaZero_Gomoku)|2.1k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| +|[pytorch-beginner](https://github.com/L1aoXingyu/pytorch-beginner)|2.1k|pytorch tutorial for beginners| +|[tangent](https://github.com/google/tangent)|2.1k|Source-to-Source Debuggable Derivatives in Pure Python| |[Person_reID_baseline_pytorch](https://github.com/layumi/Person_reID_baseline_pytorch)|2.1k|A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/…| -|[RL-Adventure](https://github.com/higgsfield/RL-Adventure)|2k|Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchic…| +|[mmlspark](https://github.com/Azure/mmlspark)|2k|Microsoft Machine Learning for Apache Spark| +|[FATE](https://github.com/FederatedAI/FATE)|2k|An Industrial Level Federated Learning Framework| +|[text-to-image](https://github.com/paarthneekhara/text-to-image)|2k|Text to image synthesis using thought vectors| |[pytorch-sentiment-analysis](https://github.com/bentrevett/pytorch-sentiment-analysis)|2k|Tutorials on getting started with PyTorch and TorchText for sentiment analysis.| -|[thinc](https://github.com/explosion/thinc)|2k|🔮 A refreshing functional take on deep learning, compatible with your favorite libraries| -|[DeepRL](https://github.com/ShangtongZhang/DeepRL)|2k|Modularized Implementation of Deep RL Algorithms in PyTorch| -|[dl-setup](https://github.com/floydhub/dl-setup)|2k|Instructions for setting up the software on your deep learning machine| +|[ELF](https://github.com/facebookresearch/ELF)|2k|An End-To-End, Lightweight and Flexible Platform for Game Research| +|[catalyst](https://github.com/catalyst-team/catalyst)|2k|Accelerated DL R&D| +|[neuralcoref](https://github.com/huggingface/neuralcoref)|2k|✨Fast Coreference Resolution in spaCy with Neural Networks| +|[DeepRL-Agents](https://github.com/awjuliani/DeepRL-Agents)|2k|A set of Deep Reinforcement Learning Agents implemented in Tensorflow.| +|[RL-Adventure](https://github.com/higgsfield/RL-Adventure)|2k|Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchic…| +|[fe4ml-zh](https://github.com/apachecn/fe4ml-zh)|2k|📖 [译] 面向机器学习的特征工程| +|[lingvo](https://github.com/tensorflow/lingvo)|2k|Lingvo| |[pytorch-generative-model-collections](https://github.com/znxlwm/pytorch-generative-model-collections)|2k|Collection of generative models in Pytorch version.| +|[ResNeSt](https://github.com/zhanghang1989/ResNeSt)|2k|ResNeSt: Split-Attention Networks| +|[TensorFlow-Tutorials](https://github.com/golbin/TensorFlow-Tutorials)|2k|텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다| +|[MUNIT](https://github.com/NVlabs/MUNIT)|2k|Multimodal Unsupervised Image-to-Image Translation| +|[oneDNN](https://github.com/oneapi-src/oneDNN)|2k|oneAPI Deep Neural Network Library (oneDNN)| +|[deepvariant](https://github.com/google/deepvariant)|2k|DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.| +|[texar](https://github.com/asyml/texar)|2k|Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow| +|[kaolin](https://github.com/NVIDIAGameWorks/kaolin)|2k|A PyTorch Library for Accelerating 3D Deep Learning Research| +|[Clairvoyant](https://github.com/anfederico/Clairvoyant)|2k|Software designed to identify and monitor social/historical cues for short term stock movement| +|[implicit](https://github.com/benfred/implicit)|2k|Fast Python Collaborative Filtering for Implicit Feedback Datasets| +|[DeepRL](https://github.com/ShangtongZhang/DeepRL)|2k|Modularized Implementation of Deep RL Algorithms in PyTorch| +|[lgo](https://github.com/yunabe/lgo)|2k|Interactive Go programming with Jupyter| +|[kcws](https://github.com/koth/kcws)|2k|Deep Learning Chinese Word Segment| +|[tensorflow-build-archived](https://github.com/lakshayg/tensorflow-build-archived)|2k|TensorFlow binaries supporting AVX, FMA, SSE| +|[dm_control](https://github.com/deepmind/dm_control)|2k|DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.| +|[gpytorch](https://github.com/cornellius-gp/gpytorch)|2k|A highly efficient and modular implementation of Gaussian Processes in PyTorch| +|[Neural-Photo-Editor](https://github.com/ajbrock/Neural-Photo-Editor)|1.9k|A simple interface for editing natural photos with generative neural networks.| +|[alpha-zero-general](https://github.com/suragnair/alpha-zero-general)|1.9k|A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4| |[tacotron2](https://github.com/NVIDIA/tacotron2)|1.9k|Tacotron 2 - PyTorch implementation with faster-than-realtime inference| -|[EasyML](https://github.com/ICT-BDA/EasyML)|1.9k|Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning …| -|[pytorch-template](https://github.com/victoresque/pytorch-template)|1.9k|PyTorch deep learning projects made easy.| +|[siamese-triplet](https://github.com/adambielski/siamese-triplet)|1.9k|Siamese and triplet networks with online pair/triplet mining in PyTorch| +|[awesome-quant](https://github.com/thuquant/awesome-quant)|1.9k|中国的Quant相关资源索引| +|[image-super-resolution](https://github.com/idealo/image-super-resolution)|1.9k|🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.| +|[generative_inpainting](https://github.com/JiahuiYu/generative_inpainting)|1.9k|DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral| +|[code-of-learn-deep-learning-with-pytorch](https://github.com/L1aoXingyu/code-of-learn-deep-learning-with-pytorch)|1.9k|This is code of book "Learn Deep Learning with PyTorch"| +|[gpt-2-simple](https://github.com/minimaxir/gpt-2-simple)|1.9k|Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts| +|[DeepInterests](https://github.com/Honlan/DeepInterests)|1.9k|深度有趣| |[segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch)|1.9k|Segmentation models with pretrained backbones. PyTorch.| +|[human-pose-estimation.pytorch](https://github.com/microsoft/human-pose-estimation.pytorch)|1.9k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| |[BigGAN-PyTorch](https://github.com/ajbrock/BigGAN-PyTorch)|1.9k|The author's officially unofficial PyTorch BigGAN implementation.| -|[siamese-triplet](https://github.com/adambielski/siamese-triplet)|1.9k|Siamese and triplet networks with online pair/triplet mining in PyTorch| -|[Girls-In-AI](https://github.com/girls-in-ai/Girls-In-AI)|1.9k|免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战| +|[pytorch-playground](https://github.com/aaron-xichen/pytorch-playground)|1.9k|Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)| +|[bertviz](https://github.com/jessevig/bertviz)|1.9k|Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)| |[face.evoLVe.PyTorch](https://github.com/ZhaoJ9014/face.evoLVe.PyTorch)|1.9k|🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥| -|[human-pose-estimation.pytorch](https://github.com/microsoft/human-pose-estimation.pytorch)|1.9k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| +|[Reco-papers](https://github.com/wzhe06/Reco-papers)|1.8k|Classic papers and resources on recommendation| +|[coach](https://github.com/NervanaSystems/coach)|1.8k|Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms| +|[sling](https://github.com/google/sling)|1.8k|SLING - A natural language frame semantics parser| +|[pytorch-deeplab-xception](https://github.com/jfzhang95/pytorch-deeplab-xception)|1.8k|DeepLab v3+ model in PyTorch. Support different backbones.| +|[mmskeleton](https://github.com/open-mmlab/mmskeleton)|1.8k|A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.| +|[sru](https://github.com/asappresearch/sru)|1.8k|Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)| +|[pytorch-seq2seq](https://github.com/bentrevett/pytorch-seq2seq)|1.8k|Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.| +|[Deep-Learning-Interview-Book](https://github.com/amusi/Deep-Learning-Interview-Book)|1.8k|深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）| +|[pai](https://github.com/microsoft/pai)|1.8k|Resource scheduling and cluster management for AI| +|[AI-Blocks](https://github.com/MrNothing/AI-Blocks)|1.8k|A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!| +|[scikit-optimize](https://github.com/scikit-optimize/scikit-optimize)|1.8k|Sequential model-based optimization with a `scipy.optimize` interface| +|[sequence_tagging](https://github.com/guillaumegenthial/sequence_tagging)|1.8k|Named Entity Recognition (LSTM + CRF) - Tensorflow| +|[zh-NER-TF](https://github.com/Determined22/zh-NER-TF)|1.8k|A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)| +|[donkeycar](https://github.com/autorope/donkeycar)|1.8k|Open source hardware and software platform to build a small scale self driving car.| +|[edge-connect](https://github.com/knazeri/edge-connect)|1.8k|EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212| +|[awd-lstm-lm](https://github.com/salesforce/awd-lstm-lm)|1.7k|LSTM and QRNN Language Model Toolkit for PyTorch| +|[pytorch-kaldi](https://github.com/mravanelli/pytorch-kaldi)|1.7k|pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.| +|[Bender](https://github.com/xmartlabs/Bender)|1.7k|Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.| +|[zi2zi](https://github.com/kaonashi-tyc/zi2zi)|1.7k|Learning Chinese Character style with conditional GAN| +|[automl-gs](https://github.com/minimaxir/automl-gs)|1.7k|Provide an input CSV and a target field to predict, generate a model + code to run it.| +|[stats](https://github.com/montanaflynn/stats)|1.7k|A well tested and comprehensive Golang statistics library package with no dependencies.| +|[ranking](https://github.com/tensorflow/ranking)|1.7k|Learning to Rank in TensorFlow| +|[mathAI](https://github.com/Roujack/mathAI)|1.7k|一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.| +|[spark-ml-source-analysis](https://github.com/endymecy/spark-ml-source-analysis)|1.7k|spark ml 算法原理剖析以及具体的源码实现分析| +|[video-object-removal](https://github.com/zllrunning/video-object-removal)|1.7k|Just draw a bounding box and you can remove the object you want to remove.| +|[datascience-pizza](https://github.com/PizzaDeDados/datascience-pizza)|1.7k|🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos| +|[data-science-interviews](https://github.com/alexeygrigorev/data-science-interviews)|1.7k|Data science interview questions and answers| +|[yolov3-tf2](https://github.com/zzh8829/yolov3-tf2)|1.7k|YoloV3 Implemented in Tensorflow 2.0| +|[ComputeLibrary](https://github.com/ARM-software/ComputeLibrary)|1.7k|The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.| +|[tacotron](https://github.com/Kyubyong/tacotron)|1.7k|A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model| +|[DeepLearn](https://github.com/GauravBh1010tt/DeepLearn)|1.7k|Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.| +|[analytics-zoo](https://github.com/intel-analytics/analytics-zoo)|1.7k|Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray| +|[PyTorch-NLP](https://github.com/PetrochukM/PyTorch-NLP)|1.7k|Basic Utilities for PyTorch Natural Language Processing (NLP)| +|[captcha_break](https://github.com/ypwhs/captcha_break)|1.7k|验证码识别| +|[crnn](https://github.com/bgshih/crnn)|1.7k|Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.| +|[DeblurGAN](https://github.com/KupynOrest/DeblurGAN)|1.7k|Image Deblurring using Generative Adversarial Networks| +|[robosat](https://github.com/mapbox/robosat)|1.6k|Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds| +|[pointnet2](https://github.com/charlesq34/pointnet2)|1.6k|PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space| |[AutonomousDrivingCookbook](https://github.com/microsoft/AutonomousDrivingCookbook)|1.6k|Scenarios, tutorials and demos for Autonomous Driving| - +|[imgclsmob](https://github.com/osmr/imgclsmob)|1.6k|Sandbox for training convolutional networks for computer vision| +|[tf_unet](https://github.com/jakeret/tf_unet)|1.6k|Generic U-Net Tensorflow implementation for image segmentation| +|[torchsample](https://github.com/ncullen93/torchsample)|1.6k|High-Level Training, Data Augmentation, and Utilities for Pytorch| +|[nlp](https://github.com/huggingface/nlp)|1.6k|🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow| +|[hdbscan](https://github.com/scikit-learn-contrib/hdbscan)|1.6k|A high performance implementation of HDBSCAN clustering.| +|[m2cgen](https://github.com/BayesWitnesses/m2cgen)|1.6k|Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby) with zero dependencies| +|[fastNLP](https://github.com/fastnlp/fastNLP)|1.6k|fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.| +|[keras-yolo2](https://github.com/experiencor/keras-yolo2)|1.6k|Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).| +|[Awesome-Chatbot](https://github.com/fendouai/Awesome-Chatbot)|1.6k|Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:| +|[knockknock](https://github.com/huggingface/knockknock)|1.6k|🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code| +|[MTBook](https://github.com/NiuTrans/MTBook)|1.6k|《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods| +|[trains](https://github.com/allegroai/trains)|1.6k|TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!| +|[self-driving-car](https://github.com/ndrplz/self-driving-car)|1.6k|Udacity Self-Driving Car Engineer Nanodegree projects.| +|[cnn_captcha](https://github.com/nickliqian/cnn_captcha)|1.6k|use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。| +|[XLearning](https://github.com/Qihoo360/XLearning)|1.6k|AI on Hadoop| +|[Tacotron-2](https://github.com/Rayhane-mamah/Tacotron-2)|1.6k|DeepMind's Tacotron-2 Tensorflow implementation| +|[fast-wavenet](https://github.com/tomlepaine/fast-wavenet)|1.6k|Speedy Wavenet generation using dynamic programming ⚡| +|[spacy-course](https://github.com/ines/spacy-course)|1.6k|👩‍🏫 Advanced NLP with spaCy: A free online course| +|[gandissect](https://github.com/CSAILVision/gandissect)|1.6k|Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/| +|[NCRFpp](https://github.com/jiesutd/NCRFpp)|1.6k|NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.| +|[stargan-v2](https://github.com/clovaai/stargan-v2)|1.6k|StarGAN v2 - Official PyTorch Implementation (CVPR 2020)| +|[tinyflow](https://github.com/tqchen/tinyflow)|1.6k|Tutorial code on how to build your own Deep Learning System in 2k Lines| +|[UNIT](https://github.com/mingyuliutw/UNIT)|1.6k|Unsupervised Image-to-Image Translation| +|[ssd_keras](https://github.com/pierluigiferrari/ssd_keras)|1.6k|A Keras port of Single Shot MultiBox Detector| +|[cosin](https://github.com/chatopera/cosin)|1.5k|🌲 春松客服，多渠道智能客服系统，开源客服系统| +|[foolbox](https://github.com/bethgelab/foolbox)|1.5k|A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX| +|[capsule-networks](https://github.com/gram-ai/capsule-networks)|1.5k|A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".| +|[flogo](https://github.com/TIBCOSoftware/flogo)|1.5k|Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.| +|[lip-reading-deeplearning](https://github.com/astorfi/lip-reading-deeplearning)|1.5k|🔓 Lip Reading - Cross Audio-Visual Recognition using 3D Architectures| +|[hummingbird](https://github.com/microsoft/hummingbird)|1.5k|Hummingbird compiles trained ML models into tensor computation for faster inference.| +|[deep-rl-tensorflow](https://github.com/carpedm20/deep-rl-tensorflow)|1.5k|TensorFlow implementation of Deep Reinforcement Learning papers| +|[practical-machine-learning-with-python](https://github.com/dipanjanS/practical-machine-learning-with-python)|1.5k|Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.| +|[NeuroNER](https://github.com/Franck-Dernoncourt/NeuroNER)|1.5k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.| +|[wavenet_vocoder](https://github.com/r9y9/wavenet_vocoder)|1.5k|WaveNet vocoder| +|[awesome-hand-pose-estimation](https://github.com/xinghaochen/awesome-hand-pose-estimation)|1.5k|Awesome work on hand pose estimation/tracking| +|[mAP](https://github.com/Cartucho/mAP)|1.5k|mean Average Precision - This code evaluates the performance of your neural net for object recognition.| +|[agents](https://github.com/tensorflow/agents)|1.5k|TF-Agents is a library for Reinforcement Learning in TensorFlow| +|[CADL](https://github.com/pkmital/CADL)|1.5k|ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL| +|[tensorflow-DeepFM](https://github.com/ChenglongChen/tensorflow-DeepFM)|1.5k|Tensorflow implementation of DeepFM for CTR prediction.| +|[tensorflow-1.4-billion-password-analysis](https://github.com/philipperemy/tensorflow-1.4-billion-password-analysis)|1.5k|Deep Learning model to analyze a large corpus of clear text passwords.| +|[DAT8](https://github.com/justmarkham/DAT8)|1.5k|General Assembly's 2015 Data Science course in Washington, DC| +|[NeMo](https://github.com/NVIDIA/NeMo)|1.5k|NeMo: a toolkit for conversational AI| +|[Machine-Learning-Flappy-Bird](https://github.com/ssusnic/Machine-Learning-Flappy-Bird)|1.5k|Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm| +|[ml-visuals](https://github.com/dair-ai/ml-visuals)|1.5k|Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.| +|[GANimation](https://github.com/albertpumarola/GANimation)|1.5k|GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]| +|[EagleEye](https://github.com/ThoughtfulDev/EagleEye)|1.5k|Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.| +|[PyTorch-Encoding](https://github.com/zhanghang1989/PyTorch-Encoding)|1.5k|A PyTorch CV Toolkit| +|[spark](https://github.com/dotnet/spark)|1.5k|.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.| +|[quiver](https://github.com/keplr-io/quiver)|1.5k|Interactive convnet features visualization for Keras| +|[MachineLearning](https://github.com/jindongwang/MachineLearning)|1.5k|一些关于机器学习的学习资料与研究介绍| +|[GAT](https://github.com/PetarV-/GAT)|1.5k|Graph Attention Networks (https://arxiv.org/abs/1710.10903)| +|[mt-dnn](https://github.com/namisan/mt-dnn)|1.4k|Multi-Task Deep Neural Networks for Natural Language Understanding| +|[deep-neuroevolution](https://github.com/uber-research/deep-neuroevolution)|1.4k|Deep Neuroevolution| +|[a-PyTorch-Tutorial-to-Object-Detection](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection)|1.4k|SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection| +|[labelbox](https://github.com/Labelbox/labelbox)|1.4k|Labelbox is the fastest way to annotate data to build and ship computer vision applications.| +|[openvino](https://github.com/openvinotoolkit/openvino)|1.4k|OpenVINO™ Toolkit repository| +|[awesome-decision-tree-papers](https://github.com/benedekrozemberczki/awesome-decision-tree-papers)|1.4k|A collection of research papers on decision, classification and regression trees with implementations.| +|[project_alias](https://github.com/bjoernkarmann/project_alias)|1.4k|Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.| +|[data-science-question-answer](https://github.com/ShuaiW/data-science-question-answer)|1.4k|A repo for data science related questions and answers| +|[photo2cartoon](https://github.com/minivision-ai/photo2cartoon)|1.4k|人像卡通化探索项目 (photo-to-cartoon translation project)| +|[video2x](https://github.com/k4yt3x/video2x)|1.4k|A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.| +|[Tengine](https://github.com/OAID/Tengine)|1.4k|Tengine is a lite, high performance, modular inference engine for embedded device| +|[cuml](https://github.com/rapidsai/cuml)|1.4k|cuML - RAPIDS Machine Learning Library| +|[BentoML](https://github.com/bentoml/BentoML)|1.4k|Model Serving Made Easy| +|[GANotebooks](https://github.com/tjwei/GANotebooks)|1.4k|wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch| +|[MobileNet](https://github.com/Zehaos/MobileNet)|1.4k|MobileNet build with Tensorflow| +|[CRAFT-pytorch](https://github.com/clovaai/CRAFT-pytorch)|1.4k|Official implementation of Character Region Awareness for Text Detection (CRAFT)| +|[mlr](https://github.com/mlr-org/mlr)|1.4k|Machine Learning in R| +|[monodepth2](https://github.com/nianticlabs/monodepth2)|1.4k|Monocular depth estimation from a single image| +|[TensorKart](https://github.com/kevinhughes27/TensorKart)|1.4k|self-driving MarioKart with TensorFlow| +|[keras-contrib](https://github.com/keras-team/keras-contrib)|1.4k|Keras community contributions| +|[stellargraph](https://github.com/stellargraph/stellargraph)|1.4k|StellarGraph - Machine Learning on Graphs| +|[GDLnotes](https://github.com/ahangchen/GDLnotes)|1.4k|Google Deep Learning Notes（TensorFlow教程）| +|[pydensecrf](https://github.com/lucasb-eyer/pydensecrf)|1.4k|Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.| +|[seldon-server](https://github.com/SeldonIO/seldon-server)|1.4k|Machine Learning Platform and Recommendation Engine built on Kubernetes| +|[chainercv](https://github.com/chainer/chainercv)|1.4k|ChainerCV: a Library for Deep Learning in Computer Vision| +|[tensorflow-nlp](https://github.com/zhedongzheng/tensorflow-nlp)|1.4k|Building blocks for NLP and Text Generation in TensorFlow 2.x / 1.x| +|[iOS_ML](https://github.com/alexsosn/iOS_ML)|1.4k|List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.| +|[tfgo](https://github.com/galeone/tfgo)|1.4k|Tensorflow + Go, the gopher way| +|[bi-att-flow](https://github.com/allenai/bi-att-flow)|1.4k|Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.| +|[CoreML-in-ARKit](https://github.com/hanleyweng/CoreML-in-ARKit)|1.4k|Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.| +|[lightning](https://github.com/scikit-learn-contrib/lightning)|1.4k|Large-scale linear classification, regression and ranking in Python| +|[DeepFace](https://github.com/RiweiChen/DeepFace)|1.4k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.| +|[torch2trt](https://github.com/NVIDIA-AI-IOT/torch2trt)|1.4k|An easy to use PyTorch to TensorRT converter| +|[deepvoice3_pytorch](https://github.com/r9y9/deepvoice3_pytorch)|1.4k|PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models| +|[sphereface](https://github.com/wy1iu/sphereface)|1.4k|Implementation for in CVPR'17.| +|[jeelizFaceFilter](https://github.com/jeeliz/jeelizFaceFilter)|1.4k|Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).| +|[kaggle-web-traffic](https://github.com/Arturus/kaggle-web-traffic)|1.4k|1st place solution| +|[minimalRL](https://github.com/seungeunrho/minimalRL)|1.4k|Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)| +|[Machine-Learning-Notes](https://github.com/Sophia-11/Machine-Learning-Notes)|1.4k|周志华《机器学习》手推笔记| +|[Gen.jl](https://github.com/probcomp/Gen.jl)|1.4k|A general-purpose probabilistic programming system with programmable inference| +|[faster_rcnn_pytorch](https://github.com/longcw/faster_rcnn_pytorch)|1.4k|Faster RCNN with PyTorch| +|[sod](https://github.com/symisc/sod)|1.4k|An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)| +|[keras_to_tensorflow](https://github.com/amir-abdi/keras_to_tensorflow)|1.4k|General code to convert a trained keras model into an inference tensorflow model| +|[handtracking](https://github.com/victordibia/handtracking)|1.3k|Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow| +|[word-rnn-tensorflow](https://github.com/hunkim/word-rnn-tensorflow)|1.3k|Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.| +|[TorchCraft](https://github.com/TorchCraft/TorchCraft)|1.3k|Connecting Torch to StarCraft| +|[AndroidTensorFlowMachineLearningExample](https://github.com/MindorksOpenSource/AndroidTensorFlowMachineLearningExample)|1.3k|Android TensorFlow MachineLearning Example (Building TensorFlow for Android)| +|[magnitude](https://github.com/plasticityai/magnitude)|1.3k|A fast, efficient universal vector embedding utility package.| +|[hackermath](https://github.com/amitkaps/hackermath)|1.3k|Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way| +|[pytorch-grad-cam](https://github.com/jacobgil/pytorch-grad-cam)|1.3k|PyTorch implementation of Grad-CAM| +|[grenade](https://github.com/HuwCampbell/grenade)|1.3k|Deep Learning in Haskell| +|[captcha_trainer](https://github.com/kerlomz/captcha_trainer)|1.3k|[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.| +|[anago](https://github.com/Hironsan/anago)|1.3k|Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.| +|[mne-python](https://github.com/mne-tools/mne-python)|1.3k|MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python| +|[eos](https://github.com/patrikhuber/eos)|1.3k|A lightweight 3D Morphable Face Model fitting library in modern C++14| +|[ngraph](https://github.com/NervanaSystems/ngraph)|1.3k|nGraph - open source C++ library, compiler and runtime for Deep Learning| +|[NSFWDetector](https://github.com/lovoo/NSFWDetector)|1.3k|A NSFW (aka porn) detector with CoreML| +|[open_nsfw_android](https://github.com/devzwy/open_nsfw_android)|1.3k|🔥🔥🔥色情图片离线识别，基于TensorFlow实现。识别只需20ms,可断网测试，成功率99%，调用只要一行代码，从雅虎的开源项目open_nsfw移植，该模型文件可用于iOS、java、C++等平台| +|[cs230-code-examples](https://github.com/cs230-stanford/cs230-code-examples)|1.3k|Code examples in pyTorch and Tensorflow for CS230| +|[pytorch-generative-adversarial-networks](https://github.com/devnag/pytorch-generative-adversarial-networks)|1.3k|A very simple generative adversarial network (GAN) in PyTorch| +|[forecasting](https://github.com/microsoft/forecasting)|1.3k|Time Series Forecasting Best Practices & Examples| +|[VIBE](https://github.com/mkocabas/VIBE)|1.3k|Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"| +|[bulbea](https://github.com/achillesrasquinha/bulbea)|1.3k|🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling| +|[electra](https://github.com/google-research/electra)|1.3k|ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators| +|[scattertext](https://github.com/JasonKessler/scattertext)|1.3k|Beautiful visualizations of how language differs among document types.| +|[talos](https://github.com/autonomio/talos)|1.3k|Hyperparameter Optimization for TensorFlow, Keras and PyTorch| +|[practicalAI-cn](https://github.com/MLEveryday/practicalAI-cn)|1.3k|AI实战-practicalAI 中文版| +|[impersonator](https://github.com/svip-lab/impersonator)|1.3k|PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis| +|[gluon-ts](https://github.com/awslabs/gluon-ts)|1.3k|Probabilistic time series modeling in Python| +|[dcgan-completion.tensorflow](https://github.com/bamos/dcgan-completion.tensorflow)|1.3k|Image Completion with Deep Learning in TensorFlow| +|[EfficientDet.Pytorch](https://github.com/toandaominh1997/EfficientDet.Pytorch)|1.3k|Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch| +|[NeuronBlocks](https://github.com/microsoft/NeuronBlocks)|1.3k|NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego| +|[yolo2-pytorch](https://github.com/longcw/yolo2-pytorch)|1.3k|YOLOv2 in PyTorch| +|[EmojiIntelligence](https://github.com/BilalReffas/EmojiIntelligence)|1.3k|Neural Network built in Apple Playground using Swift| +|[efficientnet](https://github.com/qubvel/efficientnet)|1.3k|Implementation of EfficientNet model. Keras and TensorFlow Keras.| +|[YOLOv3_TensorFlow](https://github.com/wizyoung/YOLOv3_TensorFlow)|1.3k|Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.| +|[TensorFlow.NET](https://github.com/SciSharp/TensorFlow.NET)|1.3k|.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C#.| +|[pytextrank](https://github.com/DerwenAI/pytextrank)|1.3k|Python implementation of TextRank for phrase extraction and summarization of text documents| +|[infer](https://github.com/dotnet/infer)|1.3k|Infer.NET is a framework for running Bayesian inference in graphical models| +|[uda](https://github.com/google-research/uda)|1.3k|Unsupervised Data Augmentation (UDA)| +|[mmaction](https://github.com/open-mmlab/mmaction)|1.3k|An open-source toolbox for action understanding based on PyTorch| +|[spark-nlp](https://github.com/JohnSnowLabs/spark-nlp)|1.3k|State of the Art Natural Language Processing| +|[pytorch-semantic-segmentation](https://github.com/zijundeng/pytorch-semantic-segmentation)|1.3k|PyTorch for Semantic Segmentation| +|[Deep-Learning-Boot-Camp](https://github.com/QuantScientist/Deep-Learning-Boot-Camp)|1.2k|A community run, 5-day PyTorch Deep Learning Bootcamp| +|[pytorch-openai-transformer-lm](https://github.com/huggingface/pytorch-openai-transformer-lm)|1.2k|🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI| +|[hiddenlayer](https://github.com/waleedka/hiddenlayer)|1.2k|Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.| +|[PaddleHub](https://github.com/PaddlePaddle/PaddleHub)|1.2k|Toolkit for Pre-trained Model Application of PaddlePaddle（『飞桨』预训练模型应用工具 ）| +|[PhotographicImageSynthesis](https://github.com/CQFIO/PhotographicImageSynthesis)|1.2k|Photographic Image Synthesis with Cascaded Refinement Networks| +|[alpr-unconstrained](https://github.com/sergiomsilva/alpr-unconstrained)|1.2k|License Plate Detection and Recognition in Unconstrained Scenarios| +|[Deep-Image-Analogy](https://github.com/msracver/Deep-Image-Analogy)|1.2k|The source code of 'Visual Attribute Transfer through Deep Image Analogy'.| +|[spektral](https://github.com/danielegrattarola/spektral)|1.2k|Graph Neural Networks with Keras and Tensorflow 2.| +|[DeepAA](https://github.com/OsciiArt/DeepAA)|1.2k|make ASCII Art by Deep Learning| +|[vvedenie-mashinnoe-obuchenie](https://github.com/demidovakatya/vvedenie-mashinnoe-obuchenie)|1.2k|📝 Подборка ресурсов по машинному обучению| +|[OpenSeq2Seq](https://github.com/NVIDIA/OpenSeq2Seq)|1.2k|Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP| +|[Forge](https://github.com/hollance/Forge)|1.2k|A neural network toolkit for Metal| +|[keras-yolo3](https://github.com/experiencor/keras-yolo3)|1.2k|Training and Detecting Objects with YOLO3| +|[NiftyNet](https://github.com/NifTK/NiftyNet)|1.2k|[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy| +|[Awesome-TensorFlow-Chinese](https://github.com/fendouai/Awesome-TensorFlow-Chinese)|1.2k|Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861，公众号：磐创AI，微信群二维码：http://www.tensorflownews.com/| +|[StudyBook](https://github.com/changwookjun/StudyBook)|1.2k|Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)| +|[awesome-semantic-segmentation-pytorch](https://github.com/Tramac/awesome-semantic-segmentation-pytorch)|1.2k|Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)| +|[RFBNet](https://github.com/ruinmessi/RFBNet)|1.2k|Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018| +|[GPflow](https://github.com/GPflow/GPflow)|1.2k|Gaussian processes in TensorFlow| +|[dlwpt-code](https://github.com/deep-learning-with-pytorch/dlwpt-code)|1.2k|Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.| +|[dlcv_for_beginners](https://github.com/frombeijingwithlove/dlcv_for_beginners)|1.2k|《深度学习与计算机视觉》配套代码| +|[Deep-Learning-with-PyTorch-Tutorials](https://github.com/dragen1860/Deep-Learning-with-PyTorch-Tutorials)|1.2k|深度学习与PyTorch入门实战视频教程 配套源代码和PPT| +|[DLTK](https://github.com/DLTK/DLTK)|1.2k|Deep Learning Toolkit for Medical Image Analysis| +|[FCN.tensorflow](https://github.com/shekkizh/FCN.tensorflow)|1.2k|Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)| +|[facenet-pytorch](https://github.com/timesler/facenet-pytorch)|1.2k|Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models| +|[h2o-tutorials](https://github.com/h2oai/h2o-tutorials)|1.2k|Tutorials and training material for the H2O Machine Learning Platform| +|[nlp-journey](https://github.com/msgi/nlp-journey)|1.2k|Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.| +|[object_detector_app](https://github.com/datitran/object_detector_app)|1.2k|Real-Time Object Recognition App with Tensorflow and OpenCV| +|[tnt](https://github.com/pytorch/tnt)|1.2k|Simple tools for logging and visualizing, loading and training| +|[tensorflow-deeplab-resnet](https://github.com/DrSleep/tensorflow-deeplab-resnet)|1.2k|DeepLab-ResNet rebuilt in TensorFlow| +|[reproducible-image-denoising-state-of-the-art](https://github.com/wenbihan/reproducible-image-denoising-state-of-the-art)|1.2k|Collection of popular and reproducible image denoising works.| +|[senet.pytorch](https://github.com/moskomule/senet.pytorch)|1.2k|PyTorch implementation of SENet| +|[pytorch-seq2seq](https://github.com/IBM/pytorch-seq2seq)|1.2k|An open source framework for seq2seq models in PyTorch.| +|[efficient_densenet_pytorch](https://github.com/gpleiss/efficient_densenet_pytorch)|1.2k|A memory-efficient implementation of DenseNets| +|[pytorch-retinanet](https://github.com/yhenon/pytorch-retinanet)|1.2k|Pytorch implementation of RetinaNet object detection.| +|[cakechat](https://github.com/lukalabs/cakechat)|1.2k|CakeChat: Emotional Generative Dialog System| +|[pytorch-fcn](https://github.com/wkentaro/pytorch-fcn)|1.2k|PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)| +|[python-machine-learning-book-3rd-edition](https://github.com/rasbt/python-machine-learning-book-3rd-edition)|1.2k|The "Python Machine Learning (3rd edition)" book code repository| +|[tf-quant-finance](https://github.com/google/tf-quant-finance)|1.2k|High-performance TensorFlow library for quantitative finance.| +|[gnes](https://github.com/gnes-ai/gnes)|1.1k|GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.| +|[Image-OutPainting](https://github.com/bendangnuksung/Image-OutPainting)|1.1k|🏖 Keras Implementation of Painting outside the box| +|[Fabrik](https://github.com/Cloud-CV/Fabrik)|1.1k|🏭 Collaboratively build, visualize, and design neural nets in browser| +|[attention-transfer](https://github.com/szagoruyko/attention-transfer)|1.1k|Improving Convolutional Networks via Attention Transfer (ICLR 2017)| +|[pytorch-cifar100](https://github.com/weiaicunzai/pytorch-cifar100)|1.1k|Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)| +|[MONAI](https://github.com/Project-MONAI/MONAI)|1.1k|AI Toolkit for Healthcare Imaging| +|[tensorrec](https://github.com/jfkirk/tensorrec)|1.1k|A TensorFlow recommendation algorithm and framework in Python.| +|[mleap](https://github.com/combust/mleap)|1.1k|MLeap: Deploy Spark Pipelines to Production| +|[noreward-rl](https://github.com/pathak22/noreward-rl)|1.1k|[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning| +|[PyTorchNLPBook](https://github.com/joosthub/PyTorchNLPBook)|1.1k|Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info| +|[mtcnn](https://github.com/ipazc/mtcnn)|1.1k|MTCNN face detection implementation for TensorFlow, as a PIP package.| +|[WaveRNN](https://github.com/fatchord/WaveRNN)|1.1k|WaveRNN Vocoder + TTS| +|[UNet-family](https://github.com/ShawnBIT/UNet-family)|1.1k|Paper and implementation of UNet-related model.| +|[Awesome-pytorch-list-CNVersion](https://github.com/xavier-zy/Awesome-pytorch-list-CNVersion)|1.1k|Awesome-pytorch-list 翻译工作进行中......| +|[tensorflow-fcn](https://github.com/MarvinTeichmann/tensorflow-fcn)|1.1k|An Implementation of Fully Convolutional Networks in Tensorflow.| +|[BicycleGAN](https://github.com/junyanz/BicycleGAN)|1.1k|Toward Multimodal Image-to-Image Translation| +|[TensorFlow2.0-Examples](https://github.com/YunYang1994/TensorFlow2.0-Examples)|1.1k|🙄 Difficult algorithm, simple code.| +|[fast-autoaugment](https://github.com/kakaobrain/fast-autoaugment)|1.1k|Official Implementation of 'Fast AutoAugment' in PyTorch.| +|[fastai_deeplearn_part1](https://github.com/reshamas/fastai_deeplearn_part1)|1.1k|Notes for Fastai Deep Learning Course| +|[HyperGAN](https://github.com/HyperGAN/HyperGAN)|1.1k|Composable GAN framework with api and user interface| +|[home](https://github.com/apachecn/home)|1.1k|ApacheCN 开源组织：公告、介绍、成员、活动、交流方式| +|[tfx](https://github.com/tensorflow/tfx)|1.1k|TFX is an end-to-end platform for deploying production ML pipelines| +|[handwriting-synthesis](https://github.com/sjvasquez/handwriting-synthesis)|1.1k|Handwriting Synthesis with RNNs ✏️| +|[image-quality-assessment](https://github.com/idealo/image-quality-assessment)|1.1k|Convolutional Neural Networks to predict the aesthetic and technical quality of images.| +|[PerceptualSimilarity](https://github.com/richzhang/PerceptualSimilarity)|1.1k|Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.| +|[lanenet-lane-detection](https://github.com/MaybeShewill-CV/lanenet-lane-detection)|1.1k|Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/| +|[uTensor](https://github.com/uTensor/uTensor)|1.1k|TinyML AI inference library| +|[torchgan](https://github.com/torchgan/torchgan)|1.1k|Research Framework for easy and efficient training of GANs based on Pytorch| +|[merlin](https://github.com/CSTR-Edinburgh/merlin)|1.1k|This is now the official location of the Merlin project.| +|[CLUE](https://github.com/CLUEbenchmark/CLUE)|1k|中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard| +|[tfjs-node](https://github.com/tensorflow/tfjs-node)|1k|TensorFlow powered JavaScript library for training and deploying ML models on Node.js.| +|[CycleGAN-TensorFlow](https://github.com/vanhuyz/CycleGAN-TensorFlow)|1k|An implementation of CycleGan using TensorFlow| +|[EffectivePyTorch](https://github.com/vahidk/EffectivePyTorch)|1k|PyTorch tutorials and best practices.| +|[hercules](https://github.com/src-d/hercules)|1k|Gaining advanced insights from Git repository history.| +|[AdvancedEAST](https://github.com/huoyijie/AdvancedEAST)|1k|AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.| +|[one-pixel-attack-keras](https://github.com/Hyperparticle/one-pixel-attack-keras)|1k|Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet| +|[CRNN_Chinese_Characters_Rec](https://github.com/Sierkinhane/CRNN_Chinese_Characters_Rec)|1k|(CRNN) Chinese Characters Recognition.| +|[hmtl](https://github.com/huggingface/hmtl)|1k|🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP| +|[rethinking-network-pruning](https://github.com/Eric-mingjie/rethinking-network-pruning)|1k|Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)| +|[pytorch-classification](https://github.com/bearpaw/pytorch-classification)|1k|Classification with PyTorch.| +|[a-PyTorch-Tutorial-to-Image-Captioning](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning)|1k|Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning| +|[reformer-pytorch](https://github.com/lucidrains/reformer-pytorch)|1k|Reformer, the efficient Transformer, in Pytorch| +|[pytorch-YOLOv4](https://github.com/Tianxiaomo/pytorch-YOLOv4)|1k|PyTorch ,ONNX and TensorRT implementation of YOLOv4| +|[FaceMaskDetection](https://github.com/AIZOOTech/FaceMaskDetection)|1k|开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.| +|[gen-efficientnet-pytorch](https://github.com/rwightman/gen-efficientnet-pytorch)|1k|Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS| +|[open-reid](https://github.com/Cysu/open-reid)|1k|Open source person re-identification library in python| +|[wgan-gp](https://github.com/caogang/wgan-gp)|1k|A pytorch implementation of Paper "Improved Training of Wasserstein GANs"| From 5c826a12b78e4dd38f73ea77aad169d3610b7a4d Mon Sep 17 00:00:00 2001 From: aymericdamien Date: Thu, 9 Jul 2020 21:15:16 -0700 Subject: [PATCH 10/10] update script --- scripts/generate_stats.py | 74 +++++++++++++++++++++++++-------------- 1 file changed, 47 insertions(+), 27 deletions(-) diff --git a/scripts/generate_stats.py b/scripts/generate_stats.py index 735dc6b..91c8505 100644 --- a/scripts/generate_stats.py +++ b/scripts/generate_stats.py @@ -4,11 +4,13 @@ import requests import time +SKIP_LIST = ["awesome", "notebook", "learn", "curated list"] + def search(keywords, n_pages=10, sort='stars'): res = [] for k in keywords: for i in range(1, n_pages+1): - time.sleep(10) + time.sleep(20) url = "https://github.com/search?o=desc&q=%s&p=%d&s=%s&type=Repositories" % (k, i, sort) r = requests.get(url) info = extract_search_info(r.content) @@ -20,23 +22,33 @@ def extract_search_info(html): info = [] html = BeautifulSoup(html, 'html.parser') for c in html.find_all('li', {"class": "repo-list-item"}): + url = None try: stars = str(c.find_all('a', {"class": "muted-link"})[-1].text.strip()) stars_unparsed = stars if 'k' in stars: stars = float(stars.replace('k', '')) * 1000 stars = int(stars) - lang = c.find('span', {'itemprop': "programmingLanguage"}) - lang = lang.text.strip() if lang else lang - info.append({ - "url": "https://github.com" + c.find('a', {"class": "v-align-middle"}).attrs["href"], - "title": c.find('a', {"class": "v-align-middle"}).text.strip(), - "desc": c.find('p', {"class": "col-12"}).text.strip(), + lang = None + url = "https://github.com" + c.find('a', {"class": "v-align-middle"}).attrs["href"] + title = c.find('a', {"class": "v-align-middle"}).text.strip().split('/')[-1] + desc = c.find('p', {"class": "mb-1"}).text.strip() + skip = 0 + for w in SKIP_LIST: + if w in desc: + skip = 1 + break + if skip == 0: + info.append({ + "url": url, + "title": title, + "desc": desc.strip(), "stars_unparsed": stars_unparsed, "stars": stars, "lang": lang - }) + }) except Exception as e: + print url print e return info @@ -45,12 +57,10 @@ def get_topic(keywords, n_pages=10): next_token = None for k in keywords: for i in range(1, n_pages+1): - time.sleep(10) - url = "https://github.com/topics/%s" % k - if next_token: - url += "?after=%s" % next_token + time.sleep(20) + url = "https://github.com/topics/%s?page=%i" % (k, i) r = requests.get(url) - info, next_token = extract_topic_info(r.content) + info = extract_topic_info(r.content) for r in info: res.append(r) return res @@ -58,32 +68,42 @@ def get_topic(keywords, n_pages=10): def extract_topic_info(html): info = [] html = BeautifulSoup(html, 'html.parser') - next_token = html.find('input', {"name": "after"}).attrs["value"] - for c in html.find_all('article', {"class": "py-4"}): + for c in html.find_all('article', {"class": "my-4"}): + url = None try: - stars = str(c.find_all('a', {"class": "link-gray"})[-1].text.strip()) + stars = str(c.find_all('a', {"class": "social-count"})[-1].text.strip()) stars_unparsed = stars if 'k' in stars: stars = float(stars.replace('k', '')) * 1000 stars = int(stars) - lang = c.find('span', {'itemprop': "programmingLanguage"}) - lang = lang.text.strip() if lang else lang - info.append({ - "url": "https://github.com" + c.find('h3').find('a').attrs["href"], - "title": c.find('h3').find('a').text.strip().replace(" / ", "/"), - "desc": c.find('div', {"class": "mb-3"}).text.strip(), + lang = None + url = "https://github.com" + c.find('h1').find_all('a')[1].attrs["href"] + time.sleep(5) + r = requests.get(url) + desc = BeautifulSoup(r.content, 'html.parser').find('p', {'class': 'f4'}).text + skip = 0 + for w in SKIP_LIST: + if w in desc: + skip = 1 + break + if skip == 0: + info.append({ + "url": url, + "title": c.find('h1').find_all('a')[1].text.strip().replace(" / ", "/"), + "desc": desc.strip(), "stars_unparsed": stars_unparsed, "stars": stars, "lang": lang - }) + }) except Exception as e: + print url print e - return info, next_token + return info def parse_results(results): results = {v['url']:v for v in results}.values() results = sorted(results, key=lambda x: x['stars'], reverse=True) - return [r for r in results if r['stars'] >= 1000 and (r['lang'] and r['lang'] != "TeX")] + return [r for r in results if r['stars'] >= 1000] def build_table(results_list): @@ -101,8 +121,8 @@ def build_md_fields(d): html += '
Project NameStarsDescription
' return html, md -topics = get_topic(['tensorflow', 'deep-learning', 'pytorch', 'machine-learning'], n_pages=5) -searches = search(['tensorflow', 'deep learning', 'pytorch', 'cntk', 'machine learning'], n_pages=5) +topics = get_topic(['tensorflow', 'deep-learning', 'pytorch', 'machine-learning'], n_pages=15) +searches = search(['tensorflow', 'deep learning', 'pytorch', 'cntk', 'machine learning'], n_pages=15) r = parse_results(topics + searches)