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

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

12 Lessons to Get Started Building AI Agents

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

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

12 Weeks, 24 Lessons, AI for All!

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

《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

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

The fastai book, published as Jupyter Notebooks

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

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Neural Networks: Zero to Hero

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

A collection of various deep learning architectures, models, and tips

深度学习入门教程, 优秀文章, Deep Learning Tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

llama3 implementation one matrix multiplication at a time

Natural Language Processing Tutorial for Deep Learning Researchers

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

PRML algorithms implemented in Python

This repository contains demos I made with the Transformers library by HuggingFace.

LAVIS - A One-stop Library for Language-Vision Intelligence

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

TensorFlow Tutorials with YouTube Videos

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …