Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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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.
TranslatedChinese translation of 《Designing Data-Intensive Application》 (DDIA), 1st edition / 2nd edition
How to Make a Computer Operating System in C++
The Ultimate Go Study Guide
Bootstrap yourself to write an OS from scratch. A book for self-learner.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
TranslatedDeep learning interview handbook (covering mathematics, machine learning, deep learning, computer vision, natural language processing, SLAM, and more)
The Linux Kernel Module Programming Guide (updated for 5.0+ kernels)
TranslatedIntroductory tutorial on recommender systems, online reading address: https://datawhalechina.github.io/fun-rec/
Introduce technologies on blockchain and distributed ledger, from theory to practice with bitcoin, ethereum and hyperledger.
TranslatedChinese version of the source code for "30天自制操作系统" ("Making an Operating System in 30 Days"). The process of making your own operating system (OSASK)
Angrave's Crowd-Sourced System Programming Book used at UIUC
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
Build systems with Go examples