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.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

🦜🔗 The platform for reliable agents.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

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…

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Grok open release

LlamaIndex is the leading framework for building LLM-powered agents over your data.

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

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

TensorFlow code and pre-trained models for BERT

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

A toolkit for developing and comparing reinforcement learning algorithms.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Code and documentation to train Stanford's Alpaca models, and generate the data.

TradingAgents: Multi-Agents LLM Financial Trading Framework

Fully open reproduction of DeepSeek-R1

Graph Neural Network Library for PyTorch

Fast and memory-efficient exact attention

verl: Volcano Engine Reinforcement Learning for LLMs

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Ongoing research training transformer models at scale

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Open source code for AlphaFold 2.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.