All the source code for "Robot Learning: A Tutorial". Get involved to be featured in the next iteration!

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

A minimal implementation of DeepMind's Genie world model

Enterprise open source portal built by and for the higher education community.

A clean, modular SDK for building AI agents with OpenHands V1.

🙌 OpenHands: Code Less, Make More

SWE-bench [Multimodal]: Can Language Models Resolve Real-world Github Issues?

Unified framework for robot learning built on NVIDIA Isaac Sim

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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A fast and simple implementation of RL algorithms, designed to run fully on GPU.

Inspect: A framework for large language model evaluations

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A high-throughput and memory-efficient inference and serving engine for LLMs

SGLang is a fast serving framework for large language models and vision language models.

Trains small LMs. Designed for training on SimpleStories

veRL: Volcano Engine Reinforcement Learning for LLM

mcp-language-server helps MCP enabled clients navigate codebases more easily by giving them access semantic tools like get definition, references, rename, and diagnostics.

Recipes to train reward model for RLHF.

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Fully open reproduction of DeepSeek-R1

MLGym A New Framework and Benchmark for Advancing AI Research Agents

PyTorch native post-training library

Clean, minimal, accessible reproduction of DeepSeek R1-Zero