A book series (2 published editions) on the JS language.
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- javascript
- closures
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A book series (2 published editions) on the JS language.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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
Deep Learning Book Chinese Translation
TranslatedChinese translation of "The Way to Go", officially titled in Chinese 《Go 入门指南》 (Go Rùmén Zhǐnán, "Go Beginner's Guide")
Translated✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode solutions
A book-in-progress about the Linux kernel and its insides.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Python best practices guidebook, written for humans.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
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.
Machine Learning Engineering Open Book
TranslatedQiu Xipeng's "Neural Networks and Deep Learning" (神经网络与深度学习), Second Edition and General Edition: e-book, chapter table of contents, learning resources, and errata.
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.
TranslatedHow programmers can elegantly earn pocket money, version 2.0, upgraded into a small book. Most of this not work outside China , so no English translate
A book for Learning the Foundations of LLMs
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
[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
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.
Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)