Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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

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

Code samples for my book "Neural Networks and Deep Learning"

Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)

A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/

The "Python Machine Learning (1st edition)" book code repository and info resource

Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com

An updated version of the classic "Basic Computer Games" book, with well-written examples in a variety of common MEMORY SAFE, SCRIPTING programming languages. See https://coding-horror.github.io/basic-computer-games/

code for Data Science From Scratch book

Companion code to my O'Reilly book "Flask Web Development", second edition.

《剑指 Offer》《图解算法数据结构》《Krahets 笔面试精选 88 题》Python, Java, C++ 解题代码

Notebooks and code for the book "Introduction to Machine Learning with Python"

The "Python Machine Learning (2nd edition)" book code repository and info resource

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Code for "Zero To Production In Rust", a book on API development using Rust.

Matlab code of machine learning algorithms in book PRML

My notes of Clean Code book

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

The "Python Machine Learning (3rd edition)" book code repository

:books: collection of JavaScript and TypeScript data structures and algorithms for education purposes. Source code bundle of JavaScript algorithms and data structures book

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

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

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

Example code from Learning Spark book

Code accompanying the book "Machine Learning for Hackers"

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

Example code for the book Microservice patterns