AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

A list of all named GANs!

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Python Implementation of Reinforcement Learning: An Introduction

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

PyTorch package for the discrete VAE used for DALL·E.

An educational resource to help anyone learn deep reinforcement learning.

A PyTorch implementation of the Transformer model in "Attention is All You Need".

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Play ChatGPT and other LLM with Xiaomi AI Speaker

PyTorch implementations of deep reinforcement learning algorithms and environments

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Massively Parallel Deep Reinforcement Learning. 🔥

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

A library for transfer learning by reusing parts of TensorFlow models.

A high-performance distributed training framework for Reinforcement Learning

Modularized Implementation of Deep RL Algorithms in PyTorch

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.