从 65,729 个高星开源项目里，
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brax 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Massively parallel rigidbody physics simulation on accelerator hardware.

mjlab 是用 Python 编写的学习资料，用于系统学习与查阅。

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research

OSWorld 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发。

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

Deep-Learning-Roadmap 是用 Python 编写的学习资料，用于系统学习与查阅。

:satellite: Organized Resources for Deep Learning Researchers and Developers

Skywork-R1V 是用 Python 编写的学习资料，用于系统学习与查阅。

Skywork-R1V is an advanced multimodal AI model series developed by Skywork AI, specializing in vision-language reasoning.

habitat-lab 是用 Python 编写的学习资料，用于系统学习与查阅。

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

awesome-ml-courses 是一个学习资料，用于系统学习与查阅，主打开源免费。

Awesome free machine learning and AI courses with video lectures.

TradeMaster 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打开源免费。

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

awesome-mlss 是用 HTML 编写的学习资料，用于系统学习与查阅。

🤖 Machine Learning Summer School Guide

agents 是用 Python 编写的学习资料，用于系统学习与查阅，主打易用、可伸缩。

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

awesome-deeplearning-resources 是一个 AI 工具，用于人工智能方向的建模与推理。

Deep Learning and deep reinforcement learning research papers and some codes

ml-surveys 是一个 AI 工具，用于人工智能方向的建模与推理。

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

rl-baselines3-zoo 是用 Python 编写的学习资料，用于系统学习与查阅，主打适合生产环境。

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

easy-tensorflow 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打易用、功能完整。

Simple and comprehensive tutorials in TensorFlow

RAGEN 是用 Python 编写的 AI 工具，用于大模型与智能体应用开发。

Agent RL framework for LLM agents: multi-turn reinforcement learning with StarPO and reasoning-collapse diagnostics

mctx 是用 Python 编写的学习资料，用于系统学习与查阅。

Monte Carlo tree search in JAX

robosuite 是用 Python 编写的学习资料，用于系统学习与查阅。

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising 是用 Python 编写的学习资料，用于系统学习与查阅。

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post …

Awesome-LLM-Post-training 是用 Python 编写的学习资料，用于系统学习与查阅。

Awesome Reasoning LLM Tutorial/Survey/Guide

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Solutions of Reinforcement Learning, An Introduction

ProtoMotions 是用 Python 编写的学习资料，用于系统学习与查阅。

ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.

transformers_tasks 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

data-science-question-answer 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

A repo for data science related questions and answers