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Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
This project is implementation code of AlphaStar
A curated list of awesome Flask resources and plugins
An open-source tool-augmented conversational language model from Fudan University
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Must-read papers on graph neural networks (GNN)
Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).
AI education materials for Chinese students, teachers and IT professionals.
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
The platform for building AI from enterprise data
๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Graph Neural Network Library for PyTorch
