All Algorithms implemented in Python

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Learn how to design, develop, deploy and iterate on production-grade ML applications.

AI Toolkit for Healthcare Imaging

A Deep Learning based project for colorizing and restoring old images (and video!)

Companion repository for the book Building Machine Learning Powered Applications

The fastai book, published as Jupyter Notebooks

System design patterns for machine learning

基于pytorch框架的classification万用模板

Jitsi Meet - Secure, Simple and Scalable Video Conferences that you use as a standalone app or embed in your web application.

Client side integration example source code and libraries for AI-Assisted Annotation SDK

PyTorch tutorials and best practices.

COVID-Net Open Source Initiative

🎓 Path to a free self-taught education in Computer Science!

Google Brain AutoML

Mastering OpenCV 4 with Python, published by Packt

A collection of various deep learning architectures, models, and tips

BabyAI platform. A testbed for training agents to understand and execute language commands.

📄 Awesome CV is LaTeX template for your outstanding job application

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Saves up to 90% of AWS EC2 costs by automating the use of spot instances on existing AutoScaling groups. Installs in minutes using CloudFormation or Terraform. Convenient to deploy at scale using S…

This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube

A project to make Amazon Echo respond to sign language using your webcam

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.

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/