Highlights
Starred repositories
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.
Models and examples built with TensorFlow
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
A curated list of awesome Machine Learning frameworks, libraries and software.
The world's simplest facial recognition api for Python and the command line
The definitive Web UI for local AI, with powerful features and easy setup.
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.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
OpenMMLab Detection Toolbox and Benchmark
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Open-Sora: Democratizing Efficient Video Production for All
Fully open reproduction of DeepSeek-R1
Documentation that simply works
🤗 smolagents: a barebones library for agents that think in code.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
State-of-the-Art Text Embeddings
WebUI extension for ControlNet
Asynchronous HTTP client/server framework for asyncio and Python
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
End-to-End Object Detection with Transformers






