Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Start building LLM-empowered multi-agent applications in an easier way.

PyTorch implementations of deep reinforcement learning algorithms and environments

Simple Tensorflow Cookbook for easy-to-use

Python Multi-Agent Reinforcement Learning framework

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper

Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.

Mobile Edge Computing Server based on Deep Reinforcement Learning (One-on-one)