sgl-project/sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
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SGLang is a high-performance serving framework for large language models and multimodal models.
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.
Modular algorithms and evaluation tools for recursive harness evolution. Infrastructure for RSI.
Infrastructure for continually self‑improving agents
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
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.
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
🔥 On-Policy Self-Distillation in Diffusion Models
Multimodal RL training framework for diffusion & omni models
Official Implementation of "DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models"
The absolute trainer to light up AI agents.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Evaluate and improve models and agents using environments
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
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.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
UniRL is a Framework for Unified Multimodal Model Reinforcement Learning
Mastering Diverse Domains through World Models
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)
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
[Assembly NIST] Assembly policy learning for a Franka arm in MuJoCo. Independent implementation of AlphaNIST with PPO, training code, and pretrained policies.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
A Python-based lightweight robot simulator designed for navigation, control, and learning
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
The Fastest Deep Reinforcement Learning Library
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