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.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Python Data Science Handbook: full text in Jupyter Notebooks
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
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 ;)
The fastai book, published as Jupyter Notebooks
Mostly adequate guide to FP (in javascript)
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Security Guide for Developers
Translated:books: 《Go语言高级编程》(Advanced Go Programming) open-source book, covering advanced topics such as CGO, Go assembly language, RPC implementation, Protobuf plugin implementation, Web framework implementation, distributed systems, etc. (completed)
Machine Learning Engineering Open Book
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.
TranslatedIllustrated computer networks, operating systems, computer organization, and databases, with 1,000 diagrams + 500,000 characters, breaking down obscure and hard-to-understand computer fundamentals, so that no "bagu wen" (standard interview question essays) is hard to understand in the world! 🚀 Read online: https://xiaolincoding.com
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Pragmatic, balanced FP in JavaScript. @FLJSBook on twitter.
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
Beginner, advanced, expert level Rust training material
Python Implementation of Reinforcement Learning: An Introduction
A free book that talks about design patterns/techniques used while developing with React.
The OWASP Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes technical processes for verifying the OWASP Mobile Security Weakness Enumeration (MASWE) weaknesses, which are in alignment with the OWASP MASVS.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
The "Python Machine Learning (1st edition)" book code repository and info resource