Open source repositories tagged with #reinforcement-learning, ranked by health score.
Minimal and Clean Reinforcement Learning Examples
SGLang is a high-performance serving framework for large language models and multimodal models.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
MultiROS is an open-source ROS based simulation environment designed for concurrent deep reinforcement learning. It provides a flexible and scalable framework for training and evaluating reinforcement learning agents for complex robotic tasks.
Free AI/ML course with 950+ Jupyter notebooks — Python, deep learning, LLMs, RAG, agents, prompt engineering, fine-tuning, MLOps
