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
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TranslatedThis project changes the MXNet implementations in the original book 《动手学深度学习》 (Dive into Deep Learning) into PyTorch implementations.
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.
TranslatedHow programmers can elegantly earn pocket money, version 2.0, upgraded into a small book. Most of this not work outside China , so no English translate
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"
TranslatedThe second edition of "One-Person Business Methodology" (《一人企业方法论》), also suitable for non-technical people doing other side businesses (such as self-media, e-commerce, digital goods).
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
The Data Engineering Cookbook
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.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
A free book that talks about design patterns/techniques used while developing with React.
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.
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
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》)
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
TranslatedLean Side Business: How Programmers Can Elegantly Run a Side Business
An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.
PRML algorithms implemented in Python
An open access book on scientific visualization using python and matplotlib
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec