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.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

A high-throughput and memory-efficient inference and serving engine for LLMs

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

Inference code for Llama models

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

The definitive Web UI for local AI, with powerful features and easy setup.

High-Resolution Image Synthesis with Latent Diffusion Models

Making large AI models cheaper, faster and more accessible

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

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!

PyTorch Tutorial for Deep Learning Researchers

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

Convert PDF to markdown + JSON quickly with high accuracy

[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

Fully open reproduction of DeepSeek-R1

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

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

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

MiniCPM-V 4.5: A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

☁️ Build multimodal AI applications with cloud-native stack

Best Practices on Recommendation Systems

Fast and memory-efficient exact attention

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

State-of-the-Art Text Embeddings