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
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Machine Learning Engineering Open Book
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)
Code samples for my book "Neural Networks and Deep 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 📖
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.
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》)
An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
The Concise TypeScript Book: A Concise Guide to Effective Development in TypeScript. Free and Open Source.
Step-by-step guide through the abstract and complex universe of Fragment Shaders.
The repository host gives no description.
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"
Book source for Controls Engineering in the FIRST Robotics Competition
e-book version of the akitaonrails.com blog.