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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.
🤗 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.
Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
21 Lessons, Get Started Building with Generative AI
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
⚡ Dynamically generated stats for your github readmes
A topic-centric list of HQ open datasets.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Federated query engine for AI - The only MCP Server you'll ever need
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic Frontend 🪁
🤗 smolagents: a barebones library for agents that think in code.
This repository contains the Hugging Face Agents Course.
The fastai book, published as Jupyter Notebooks
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Turns Data and AI algorithms into production-ready web applications in no time.
Examples and guides for using the Gemini API
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
Learn ML engineering for free in 4 months! Register here 👇🏼
Practical Python Programming (course by @dabeaz)
Get started using GitHub in less than an hour.
Data science interview questions and answers
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.