Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- gpt
- large-language-models
- llm
- python
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Translated✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode solutions
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
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
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
Python Implementation of Reinforcement Learning: An Introduction
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.
PRML algorithms implemented in Python
TranslatedGitHub 漫游指南 (Manyou Zhinan, "Roaming Guide")- a Chinese ebook on how to build a good project on Github. Explore the users' behavior. Find some thing interest.
Repository for the book "Crafting Interpreters"
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
JavaScript interview Questions
These are the sample Bounded Contexts from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
A practical guide to building enterprise AI agents across their full lifecycle.
XML sources of SICP and SICP JS, and support for generating Interactive SICP JS, PDF, e-book and comparison editions
Contributed code examples from O'Reilly Android Cookbook. See #user-content-table README below!
These are the sample Bounded Contexts for C#.NET from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
An interactive 3D textbook for AP Physics 1 and AP Physics C