Search awesome repositories

21 Lessons, Get Started Building with Generative AI

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

18 Lessons to Get Started Building AI Agents

Examples and guides for using the OpenAI API

12 Weeks, 24 Lessons, AI for All!

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

《动手学大模型Dive into LLMs》系列编程实践教程

Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to develop, deploy and iterate on production-grade ML applications.

🔊 Text-Prompted Generative Audio Model

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

10 Weeks, 20 Lessons, Data Science for All!

AirLLM 70B inference with single 4GB GPU

📚 从零开始构建大模型

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

A simple screen parsing tool towards pure vision based GUI agent

The fastai book, published as Jupyter Notebooks

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

Python programs, usually short, of considerable difficulty, to perfect particular skills.

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

A guidance language for controlling large language models.