DSBench: How Far are Data Science Agents from Becoming Data Science Experts?

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

Additional environments compatible with OpenAI gym

论文写作与资料分享

Live posts of FeedBot on Libera.Chat

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Materials for the Hugging Face Diffusion Models Course

Matplotlib styles for scientific plotting

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

This repository contains demos I made with the Transformers library by HuggingFace.

Some Conferences' accepted paper lists (including AI, ML, Robotic)

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

An extension of the PyMARL codebase that includes additional algorithms and environment support

Reinforcement Learning Environments for Omniverse Isaac Gym

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Repository of continual learning papers

Brain Agent for Large-Scale and Multi-Task Agent Learning

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

Multi-Joint dynamics with Contact. A general purpose physics simulator.

⏰ AI conference deadline countdowns

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Training scripts, training data, and experimental data for Neural Fly

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization