JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

First Open-Source Industry-Specific Model for Semiconductors

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

An elegant PyTorch deep reinforcement learning library.

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym

A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

We perform functional grounding of LLMs' knowledge in BabyAI-Text

Simple and easily configurable grid world environments for reinforcement learning

Simple Minecraft-inspired program using Python and Pyglet

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

This is a benchmark repository for safe reinforcement learning algorithms

MultiTask Environments for Reinforcement Learning.

A simple and open-source proxy API that allows you to access OpenAI's ChatGPT API for free!

README文件语法解读，即Github Flavored Markdown语法介绍

A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.

Robot Reinforcement Learning on the Constraint Manifold

A Massively Parallel Large Scale Self-Play Framework