Hugging Face는 AI 커뮤니티를 위해 여러 가지 공공 GitHub 레포지토리를 운영하고 있습니다. Python, Rust, Jupyter Notebook과 같은 주요 프로그래밍 언어를 사용하여, transformers, diffusers, datasets와 같은 다양한 프로젝트를 개발하고 있습니다. 이들 레포지토리는 머신 러닝 모델 및 데이터셋을 효율적으로 다루는 도구를 제공합니다.
🤗 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.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Fully open reproduction of DeepSeek-R1
🤗 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
Train transformer language models with reinforcement learning.
State-of-the-Art Embeddings, Retrieval, and Reranking
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Build voice agents with open-source models
Give your agents the power of the Hugging Face ecosystem
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
The open source codebase powering HuggingChat
Large Language Model Text Generation Inference
Archived — ML Intern is no longer maintained. Continue with HuggingChat.
🚀 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
Robust recipes to align language models with human and AI preferences
Inference and training library for high-quality TTS models.
A blazing fast inference solution for text embeddings models
This repo contains the Hugging Face Deep Reinforcement Learning Course.
The simplest, fastest repository for training/finetuning small-sized VLMs.
Notebooks using the Hugging Face libraries 🤗
🤗 AutoTrain Advanced
Materials for the Hugging Face Diffusion Models Course
The Hugging Face course on Transformers
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
The official CLI and Python client for the Hugging Face Hub.
Everything about the SmolLM and SmolVLM family of models
🚀 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.
A Python port of Pi’s minimalist coding agent.
Efficient few-shot learning with Sentence Transformers
Minimalistic large language model 3D-parallelism training
Open-source AI cookbook
Use Hugging Face with JavaScript
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Minimalistic 4D-parallelism distributed training framework for education purpose
Making the community's best AI chat models available to everyone.
JavaScript Gaussian Splatting library.
Build, enrich, and transform datasets using AI models with no code
🔥The Web-scale GUI for MongoDB
Scalable and memory-optimized training of diffusion models
Swift Package to implement a transformers-like API in Swift
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LLM powered development for Neovim
Recipes to scale inference-time compute of open models
🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.
A pytorch quantization backend for optimum
An API-compatible, drop-in replacement for Apple's Foundation Models framework with support for custom language model providers.
Mount Hugging Face Buckets and repos as local filesystems. No download, no copy, no waiting.
Build compute kernels and load them from the Hub.
A Rust NFS Server implementation
Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
xet client tech, used in huggingface_hub
Docs of the Hugging Face Hub
Durable, searchable memory of your past agent sessions.
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Where GPUs get cooked 👩🍳🔥
⏰ AI conference deadline countdowns
Rust client for the huggingface hub aiming for minimal subset of features over `huggingface-hub` python package
Hugging Face MCP Server
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Human in the loop Reinforcement Learning suite
The home of Carbon Genomic Foundation Model 🧬
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
A Command-Line Interface (CLI), Skill and MCP Server to interact with Papers with Code. For agents and humans.
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A Unity plugin for using Transformers models in Unity.
A Swift client for Hugging Face Hub and Inference Providers APIs
Kernel sources for https://huggingface.co/kernels-community
The package used to build the documentation of our Hugging Face repos
Research projects built on top of Transformers
Pi coding agent extension: llama.cpp provider with dynamic model + context window discovery
Testbed for LLM inference with cutile-rs.
AMD related optimizations for transformer models
Hugging Face Inference Toolkit used to serve transformers, sentence-transformers, and diffusers models.
This repository hosts the code of Papers with Code, which tracks trending AI research with code, datasets and leaderboards.
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Reviews pull requests with any OpenAI-compatible LLM
Agentic Resource Discovery Client/Server
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A framework to capture, analyse and export agentic sessions
Expose HuggingFace datasets as Apache Iceberg tables
A GitHub Action that syncs your GitHub repository to Hugging Face Hub 🤗
CSI driver for mounting HuggingFace Buckets and Repos as FUSE filesystems
Search the decisions behind the code.
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Fast build, push, pull and run of container images on the Hugging Face registry (cr.hf.co), as an hf CLI extension
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Executable model integration contracts published on the Hub, run from framework CI
CI tools for Transformers
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Build manylinux binaries using Nix
Hugging Face는 주로 머신 러닝 모델 및 도구들을 개발합니다. transformers, diffusers, datasets와 같은 여러 레포지토리를 통해 AI 분야에서의 혁신을 지원합니다.
Hugging Face는 주로 Python을 사용하지만 Rust, Jupyter Notebook, TypeScript와 같은 다양한 언어도 활용합니다. 이를 통해 다양한 AI 관련 프로젝트를 개발합니다.
네, Hugging Face의 모든 레포지토리는 공개되어 있습니다. 이를 통해 개발자와 연구자들은 AI 모델과 도구를 쉽게 접근하고 활용할 수 있습니다.