OpenVLThinker

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

An elegant PyTorch deep reinforcement learning library.

Use PEFT or Full-parameter to finetune 450+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek-R1, ...) and 150+ MLLMs (Qwen2.5-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL2, Phi3.5-Vision, GOT-OCR2, ...).

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

Distributed RL System for LLM Reasoning

Latest Advances on System-2 Reasoning

Python library for Reinforcement Learning.