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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.
Stable Diffusion web UI
🤗 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.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
🦜🔗 The platform for reliable agents.
Magnificent app which corrects your previous console command.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
LlamaIndex is the leading framework for building LLM-powered agents over your data.
The definitive Web UI for local AI, with powerful features and easy setup.
Making large AI models cheaper, faster and more accessible
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
A generative speech model for daily dialogue.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Code and documentation to train Stanford's Alpaca models, and generate the data.