The AI community building the future.
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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.
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
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
Give your agents the power of the Hugging Face ecosystem
🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models
A course on aligning smol models.
A blazing fast inference solution for text embeddings models
The official Python client for the Hugging Face Hub.
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
Use Hugging Face with JavaScript
An interface library for RL post training with environments.
LLM powered development for VSCode
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
LLM powered development for Neovim
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Use AI Agents directly in Blender.
LSP server leveraging LLMs for code completion (and more?)
Mount Hugging Face Buckets and repos as local filesystems. No download, no copy, no waiting.
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Build compute kernels and load them from the Hub.
Docs of the Hugging Face Hub
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An open collection of methodologies to help with successful training of large language models.
An open collection of implementation tips, tricks and resources for training large language models
Gemma 2 optimized for your local machine.
⏰ AI conference deadline countdowns
Inference, Fine Tuning and many more recipes with Gemma family of models
Manage scalable open LLM inference endpoints in Slurm clusters
Code for instruction-tuning Stable Diffusion.
Hugging Face MCP Server
👷 Build compute kernels
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SmolVLM2 Demo
General multi-task deep RL Agent
Inference server benchmarking tool
Modal-style sandbox API on top of Hugging Face Jobs
Kernel sources for https://huggingface.co/kernels-community
This repository contains the ML For Games Course
Hugging Face Inference Toolkit used to serve transformers, sentence-transformers, and diffusers models.
Additional code for Stable-baselines3 to load and upload models from the Hub.
Web application for visualizing robotics datasets in LeRobot format
LLM powered development for IntelliJ
A VSCode extension to use Hugging Face Inference Providers in Copilot Chat
🤗 LeLab: A web UI interface on top of LeRobot
Simple Python client for the Hugging Face Inference API
Set of auxiliary tools to use with image and video generation libaries. Mainly created to be used with diffusers
**ARCHIVED** Filesystem interface to 🤗 Hub
M4 experiment logbook
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A framework for few-shot evaluation of language models.
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Minimal repository to demonstrate fast LoRA inference with Flux family of models.
Lightweight web UI for annotating LeRobot datasets
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Comprehensive Hugging Face Hub Library for rust
A GitHub Action that syncs your GitHub repository to Hugging Face Hub 🤗
A course on building Large Language Models
Ongoing research training transformer models at scale
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A starter kit for evaluating benchmarks on the 🤗 Hub
Huggy is a Unity ML-Agents environment showcasing a dog mastering stick-catching through deep reinforcement learning.
Issue bot for transformers
Official Documentation for HUGS
Agentic framework for physics
SDK for creating Hugging Face Inference Endpoints deployments
Coding agent user interface
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Run GitHub Actions on Hugging Face Jobs
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Official Helm Chart for HUGS
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MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Backend for the llm-perf leaderboard space
Experimental Hugging Face API for Transformers, Diffusers and Sentence Transformers, written in Python.
Tools for merging pretrained large language models.
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
LLM Academy
Benchmarks for the HuggingFace Kernel Community kernels
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CLI extension for `hf` to run inference with Hugging Face Inference Providers.
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Collection of evals for Inspect AI
Simple CLI Skill Installer/Updater for Hugging Face Skills
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Accelerating the development of large multimodal models (LMMs) with lmms-eval
labbench2
Additional code for Tianshou to load and upload models from the Hub.
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Benchmarking Knowledge Transfer in Lifelong Robot Learning
Asses and details for HUGS on GCP
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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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