A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.
《深入理解 AI Agent:设计原理与工程实践》(李博杰 著)开源主仓库:全书正文、编译版 PDF 与按章配套代码
SGLang is a high-performance serving framework for large language models and multimodal models.
Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
Infrastructure for continually self‑improving agents
A Gym-like environment for Reinforcement Learning in Brawlhalla.
The absolute trainer to light up AI agents.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
🔥 On-Policy Self-Distillation in Diffusion Models
Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Agent S: the state-of-the-art open source computer use agents
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
人形机器人运动智能论文、开源项目、产业与求职知识库
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Implement a reasoning LLM in PyTorch from scratch, step by step
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 542 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南
RL‑Empowered Small‑Scale Competitive Guandan Agent
Official Implementation of "DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models"
Open-source code for training and scaling up energy-based foundation models.
List of Computer Science courses with video lectures.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Multimodal RL training framework for diffusion & omni models
Halo is an open-source framework built by White Circle for training large language and multimodal models
A unified framework for easy fine-tuning in Flow-Matching models
Offline Clash Royale AI agent research: native simulation, imitation learning, PPO, and interactive evaluation. 离线对局模拟、模仿学习、强化学习与交互评测。
Aesthetic code generation with decoupled cross-modal rewards: turning prompts into editable, verifiable HTML/CSS infographics, with image generators as aesthetic guidance.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Mastering Diverse Domains through World Models
Open Machine Learning course
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Massively parallel rigidbody physics simulation on accelerator hardware.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
RL implementations
UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms
A suite of test scenarios for multi-agent reinforcement learning.
[EMNLP 2026] MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
人车模拟器(Human-vehicle Simulator)
[ICLR 2026] ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving