An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

Sky-T1: Train your own O1 preview model within $450

veRL: Volcano Engine Reinforcement Learning for LLM

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)

This is a replicate of DeepSeek-R1-Zero and DeepSeek-R1 training on small models with limited data

Clean, accessible reproduction of DeepSeek R1-Zero

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

⚡ Building applications with LLMs through composability ⚡

An offline deep reinforcement learning library

PyTorch implementation of Soft Actor-Critic (SAC)

Pytorch implementation of Neural Processes for functions and images 🎆

Keeping track of RL experiments

A benchmark for offline reinforcement learning.

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

RoBO: a Robust Bayesian Optimization framework

NASBench: A Neural Architecture Search Dataset and Benchmark