Directory
Books
Reviewed resources in Books. 105 resources listed.
Machine Learning Engineering Open Book
stasosphere.comAn open, continually updated book of methodologies, tools and step-by-step instructions for training and fine-tuning large language and multi-modal models, aimed at the engineers and operators who run that training.
Machine Learning for Trading — 3rd Edition
ml4trading.ioA book companion repository with code, case studies and libraries for building, testing and deploying machine learning-based trading strategies, from data sourcing through live execution.
hacker-laws
hackerlaws.devA reference of named laws, theories, principles and patterns that come up when discussing software development, from Conway's Law to SOLID.
Machine Learning Systems
mlsysbook.aiA four-volume textbook and curriculum from Harvard's CS249r course on engineering machine learning systems, paired with hands-on labs, a from-scratch framework, hardware kits and a simulator.
Hands-On Large Language Models
llm-book.comThe official code repository for the O'Reilly book Hands-On Large Language Models, with runnable notebooks for every chapter's examples.
An open-source Chinese-language book on AI agent design and engineering practice, organized around the formula "agent equals a language model plus context plus tools," with ten chapters and 109 accompanying runnable experiments.
claude-code-best-practice
github.comA reference collection mapping Claude Code's own concepts and newer features, such as subagents, commands, skills, hooks, MCP servers and plugins, to where each one lives in the configuration and where to learn more.
The official code repository for a book that teaches how large language models work by building a GPT-like model from scratch in PyTorch, covering pretraining and finetuning.
JavaGuide
javaguide.cnA Chinese-language guide to Java and backend interviews covering Java fundamentals, collections, concurrency, the JVM, operating systems, networking, databases, system design and AI development.