Repository Index

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Machine Learning Engineering Open Book

• pytorch
• slurm
• large-language-models
• llm

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.

A book for Learning the Foundations of LLMs

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

• reinforcement-learning
• book
• courses
• tutorials

Code samples for my book "Neural Networks and Deep 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

A guide on how to be a Programmer - originally published by Robert L Read

• learning
• programming

Companion webpage to the book "Mathematics For Machine Learning"

Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖

• vim
• editor
• tutorial
• programming

Rust By Practice will evolve into Origin.

• rust
• practice
• example
• exercise

Python Implementation of Reinforcement Learning: An Introduction

• reinforcement-learning
• artificial-intelligence

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.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

• deep-learning
• machine-learning
• linear-algebra
• mit

The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams

Bootstrap yourself to write an OS from scratch. A book for self-learner.

• operating-system
• book

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.

• mobile-app
• pentesting
• android-application
• ios-app

TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.

• tensorflow
• tensorflow2
• deeplearning
• machinelearning

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》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com

The "Python Machine Learning (1st edition)" book code repository and info resource

• machine-learning
• machine-learning-algorithms
• logistic-regression
• data-science

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