🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Deep Learning for humans

结巴中文分词

PyTorch Tutorial for Deep Learning Researchers

数据结构和算法必知必会的50个代码实现

A MNIST-like fashion product database. Benchmark 👇

walle - 瓦力 Devops开源项目代码部署平台

⚡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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Implementation of Graph Convolutional Networks in TensorFlow

Build Graph Nets in Tensorflow

Game Boy emulator written in Python

An Open-Source Package for Knowledge Embedding (KE)

A high performance and generic framework for distributed DNN training

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Sample Code for Gated Graph Neural Networks

TensorFlow implementations of Graph Neural Networks

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

TensorFlow 2 library implementing Graph Neural Networks

Naive Bayes SVM for Sentiment Analysis

Graph CNNs for population graphs

Polysh, the remote shell multiplexer

Deep Graph Mapper: Seeing Graphs through the Neural Lens