Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
- gpt
- large-language-models
- llm
- python
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Translated📚 "Building Agents from Scratch" — A tutorial on agent principles and practice, starting from zero
TranslatedMain open-source repository of "Understanding AI Agents in Depth: Design Principles and Engineering Practice" (by Li Bojie): the full text of the book, the compiled PDF, and companion code organized by chapter
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
- artificial-intelligence
- cloud-ml
- computer-systems
- courseware
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Learn Go with test-driven development
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
- machine-learning
- trading
- investment
- finance
TranslatedQiu Xipeng's "Neural Networks and Deep Learning" (神经网络与深度学习), Second Edition and General Edition: e-book, chapter table of contents, learning resources, and errata.
- attention-mechanism
- chinese
- deep-learning
- machine-learning
TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
- deep-learning
- deep-learning-tutorial
- pytorch
- pytorch-tutorial
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."
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
- machine-learning
- deep-learning
- leedl-tutorial
- cnn
Python Implementation of Reinforcement Learning: An Introduction
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.
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
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.
An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.
- cuda
- hgemm
- cuda-kernels
- cuda-toolkit
PRML algorithms implemented in Python
An open access book on scientific visualization using python and matplotlib
- python
- matplotlib
- dataviz
- scientific-publications
Repository for the book "Crafting Interpreters"
The Concise TypeScript Book: A Concise Guide to Effective Development in TypeScript. Free and Open Source.
- book
- learn-typescript
- typescript
- typescript-book
The Web Security Testing Guide is a comprehensive Open Source guide to testing the security of web applications and web services.
- best-practices
- guide
- owasp
- bugbounty
:book: A creative-commons book on Backbone.js for beginners and advanced users alike
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"