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

PyTorch implementations of deep reinforcement learning algorithms and environments

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

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

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

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

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)

Python Multi-Agent Reinforcement Learning framework

One second to read GitHub code with VS Code.

Repository for out-of-tree scheduler plugins based on scheduler framework.

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.

Simple Tensorflow Cookbook for easy-to-use

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