Open Source Books & Courses67 / 246 projects

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Learn it. Build it. Ship it for others.

《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

This repository contains the Hugging Face Agents Course.

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

南瓜书：《机器学习》（西瓜书）公式详解

✅（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】

List of Golang books

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

💻 The first course for AI-native product builders.

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

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.

🧑‍🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）

A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

《御舆：解码 Agent Harness》42万字拆解 AI Agent 的Harness骨架与神经 —— Claude Code 架构深度剖析，15 章从对话循环到构建你自己的 Agent Harness。在线阅读网站：

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

Open Machine Learning course

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

👩‍🏫 Advanced NLP with spaCy: A free online course

Machine Learning Course, Sharif University of Technology

ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy

:closed_book: Clarity in the current fast-paced mess of Open Source innovation

📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

The book every data scientist needs on their desk.

📕 국내 개발 도서 리스트

Machine Learning Open Source University

This repository hosts the code behind the online book, Coding for Economists.

Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

This is the companion repo of the O'Reilly book "Python for Excel".

《动手学 Pi》：沿 15 个真实 checkpoint 从零构建 Pi-style Agent

My book list

Ansible and Kubernetes examples from Ansible for Kubernetes Book

Open-Source Information Retrieval Courses @ TU Wien

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.

Examples and libraries for "Natural Language Processing in Action" book

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

本书围绕 DeerFlow 2.0，从理论到源码，系统讲解如何进行二次开发。(精校)

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

Korean translation of machine learning yearning book by Andrew Ng.

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Build a Large Language Model (From Scratch) book and Finetuned Models

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

This repository guides you through the process of building a GPT-style Large Language Model (LLM) from scratch using PyTorch. The structure and approach are inspired by the book Build a Large Language Model (From Scratch) by Sebastian Raschka.

Geographic Data Science, the course

Материалы курса по Машинному Обучению для стажировки в 7bits

Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

Student materials and handouts for Excel to Python course

"Introduction to Python" course for future MSc students at Ada Lovelace Academy, Imperial College London

For communication and learning only: machine intelligence related books and classic papers including AutoML, sentiment classification, speech recognition, speaker recognition, and speech synthesis experimental code.

Developer-Handbook

《Easy Data x AI》是一门面向所有 AI 爱好者的数据与 AI 基础入门课程。通过双轨学习路径，从数据驱动视角学习构建 AI Agent。

Codebase for my book "Python DeepLearning Projects" | Learn applied deep learning for various use-cases on NLP, CV and ASR using TensorFlow and Keras. Book link.