A book series (2 published editions) on the JS language.
- book-series
- javascript
- closures
- prototypes
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A book series (2 published editions) on the JS language.
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
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Translated《动手学深度学习》 (Dive into Deep Learning): for Chinese readers, runnable, and open to discussion. The Chinese and English editions are used for teaching at more than 500 universities in more than 70 countries.
TranslatedHan Xiankai's (韩先凯) Life Advancement Guide: a bilingual Chinese-English lifelong learning guide for the AI era, covering AI, learning, entrepreneurship, wealth, love, and life
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
A golang ebook intro how to build a web with golang
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
Python sample codes and textbook for robotics algorithms.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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!
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
TranslatedChinese translation of 《Designing Data-Intensive Application》 (DDIA), 1st edition / 2nd edition
Mostly adequate guide to FP (in javascript)
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini
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.
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
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.
A book for Learning the Foundations of LLMs