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TranslatedHello Algo (《Hello 算法》): An animated, illustrated data structures and algorithms tutorial with one-click code running. Supports Simplified Chinese, Traditional Chinese, English, and Japanese, and provides code implementations in Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart, and more
Translated📚 "Building Agents from Scratch" — A tutorial on agent principles and practice, starting from zero
TranslatedDeep Learning 500 Questions: in question-and-answer form, it covers hot topics in commonly used probability, linear algebra, machine learning, deep learning, computer vision and more, to help myself and readers who need it. The book is divided into 18 chapters and has more than 500,000 characters. Due to limited ability, readers are kindly asked to criticize and correct any improper parts of the book. To be continued............ If you are interested in cooperating, contact [email protected]. All rights reserved, infringement will be prosecuted. Tan 2018.06
Python Data Science Handbook: full text in Jupyter Notebooks
A golang ebook intro how to build a web with golang
Translated✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode solutions
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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 ;)
TranslatedLearn and understand Docker&Container technologies, with real DevOps practice!
TranslatedPumpkin Book (南瓜书, Nangua Shu): Detailed explanations of the formulas in "Machine Learning" (the Watermelon Book, 西瓜书)
The fastai book, published as Jupyter Notebooks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
TranslatedChinese translation of 《Designing Data-Intensive Application》 (DDIA), 1st edition / 2nd edition
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
Machine Learning Engineering Open Book
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
The Data Engineering Cookbook
Python Implementation of Reinforcement Learning: An Introduction
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.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams