Jupyter Notebook

Python - 100天从新手到大师

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

A latent text-to-image diffusion model

12 Weeks, 24 Lessons, AI for All!

《动手学大模型Dive into LLMs》系列编程实践教程

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.

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

Python Data Science Handbook: full text in Jupyter Notebooks

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

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼

This is a repo with links to everything you'd ever want to learn about data engineering

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

AirLLM 2.8T LLM inference with single 4GB GPU

🔊 Text-Prompted Generative Audio Model

Google Research

Anthropic's Interactive Prompt Engineering Tutorial

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

10 Weeks, 20 Lessons, Data Science for All!

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

📚 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

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

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

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

Course Files for Complete Python 3 Bootcamp Course on Udemy

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

The fastai deep learning library

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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

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

A simple screen parsing tool towards pure vision based GUI agent

The fastai book, published as Jupyter Notebooks

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Neural Networks: Zero to Hero

🤖 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

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

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

✅（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.

Learn OpenCV : C++ and Python Examples

Anthropic's educational courses

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

A guidance language for controlling large language models.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

A High-Quality Real Time Upscaler for Anime Video

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

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

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

《统计学习方法》的代码实现

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。

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Instruct-tune LLaMA on consumer hardware

[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

💿 Free software that works great, and also happens to be open-source Python.

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

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Examples and guides for using the Gemini API

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

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

One has no future if one couldn't teach themself.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

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

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

Data and code behind the articles and graphics at FiveThirtyEight

12 Weeks, 24 Lessons, IoT for All!

《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

FinRL®: Financial Reinforcement Learning. 🔥

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

Kolmogorov Arnold Networks

:satellite: Simple and ready-to-use tutorials for TensorFlow

Companion webpage to the book "Mathematics For Machine Learning"

stable diffusion webui colab

StableLM: Stability AI Language Models

Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

This repository contains implementations and illustrative code to accompany DeepMind publications

llama3 implementation one matrix multiplication at a time

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Your new Mentor for Data Science E-Learning.

This repository contains the source code for the paper First Order Motion Model for Image Animation

Natural Language Processing Tutorial for Deep Learning Researchers

A multi-voice TTS system trained with an emphasis on quality

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Learn ML engineering for free in 4 months! Register here 👇🏼

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

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.

Python training for business analysts and traders