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Hugging Face is an organization on GitHub that focuses on building the future of artificial intelligence. Their public repositories feature a wide range of projects, with primary programming languages including Python, TypeScript, and Rust. Notable repositories include transformers, diffusers, and datasets, which serve as essential resources for machine learning and AI development.
🤗 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 largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
This repository contains the Hugging Face Agents Course.
🤗 smolagents: a barebones library for agents that think in code.
Fully open reproduction of DeepSeek-R1
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Minimalist ML framework for Rust
State-of-the-Art Embeddings, Retrieval, and Reranking
Train transformer language models with reinforcement learning.
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Large Language Model Text Generation Inference
Give your agents the power of the Hugging Face ecosystem
The open source codebase powering HuggingChat
🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
A course on aligning smol models.
Build local voice agents with open-source models
Robust recipes to align language models with human and AI preferences
The simplest, fastest repository for training/finetuning small-sized VLMs.
This repo contains the Hugging Face Deep Reinforcement Learning Course.
A blazing fast inference solution for text embeddings models
🤗 AutoTrain Advanced
Notebooks using the Hugging Face libraries 🤗
Materials for the Hugging Face Diffusion Models Course
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
The Hugging Face course on Transformers
Everything about the SmolLM and SmolVLM family of models
The official CLI and Python client for the Hugging Face Hub.
Public repo for HF blog posts
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
Efficient few-shot learning with Sentence Transformers
Minimalistic large language model 3D-parallelism training
Swift app demonstrating Core ML Stable Diffusion
Open-source AI cookbook
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
Use Hugging Face with JavaScript
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
An interface library for RL post training with environments.
Minimalistic 4D-parallelism distributed training framework for education purpose
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
A collection of 🤗 Transformers.js demos and example applications
A Python port of Pi’s minimalist coding agent.
Papers & presentation materials from Hugging Face's internal science day
🦄 State-of-the-Art Conversational AI with Transfer Learning
🔥The Web-scale GUI for MongoDB
Scalable and memory-optimized training of diffusion models
Swift Package to implement a transformers-like API in Swift
LLM powered development for VSCode
🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.
An API-compatible, drop-in replacement for Apple's Foundation Models framework with support for custom language model providers.
No description provided for this repository.
Backend that powers the dataset viewer on Hugging Face dataset pages through a public API.
Mount Hugging Face Buckets and repos as local filesystems. No download, no copy, no waiting.
A Rust NFS Server implementation
Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
Generate and evaluate agent skills for code agents like Claude Code, Open Code, OpenAI Codex
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🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Easily embed, cluster and semantically label text datasets
Docs of the Hugging Face Hub
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An open collection of methodologies to help with successful training of large language models.
xet client tech, used in huggingface_hub
An open collection of implementation tips, tricks and resources for training large language models
Convert any Repo into an RL Environment
Scaling Data-Constrained Language Models
Rust client for the huggingface hub aiming for minimal subset of features over `huggingface-hub` python package
Manage scalable open LLM inference endpoints in Slurm clusters
Hugging Face MCP Server
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A gym environment for PushT
Hugging Face Deep Learning Containers (DLCs) for Google Cloud
🤗 Optimum ONNX: Export your model to ONNX and run inference with ONNX Runtime
🤗 LeLab: A web UI interface on top of LeRobot
Web application for visualizing robotics datasets in LeRobot format
A course on context engineering with code agents.
Pi coding agent extension: llama.cpp provider with dynamic model + context window discovery
Hugging Face's take home challenge for post-training internships, now open for you to try!
Reviews pull requests with any OpenAI-compatible LLM
Agentic Resource Discovery Client/Server
Expose HuggingFace datasets as Apache Iceberg tables
Synthetic pretraining data by rephrasing the web
A fork of the official LIBERO benchmark, extended for Hugging Face’s LeRobot integration and large-scale robotics experiments.
Launch Claude Code with Hugging Face Inference Providers
An open-source NLP research library, built on PyTorch.
ML Claw: deploy OpenClaw agents on Hugging Face
Lint modeling, modular, and configuration files for structural conventions
IDE for moon team
A Command-Line Interface (CLI) to interact with Papers with Code. For humans and agents.
No description provided for this repository.
CI tools for Transformers
Hugging Face builds various AI-related projects on GitHub, including popular repositories like transformers for model definitions and diffusers for image and audio generation. Their focus is on providing tools and resources for the AI community.
Hugging Face primarily uses Python, TypeScript, Rust, Jupyter Notebook, and JavaScript in their repositories. This diverse language usage supports a wide array of machine learning and AI applications.
Yes, all of Hugging Face's repositories are public. This openness allows developers and researchers to access, use, and contribute to their projects, fostering collaboration within the AI community.
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