Code Repository for Machine Learning with PyTorch and Scikit-Learn
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Book about interpretable machine learning
Content for the ebook "Understanding ECMAScript 6"
- leanpub
- ebook
- zakas
- javascript
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
The "Python Machine Learning (3rd edition)" book code repository
TranslatedHermes Agent from Beginner to Expert · Orange Book Series · A Practical Guide to Nous Research's Open-Source AI Agent Framework
Learn how to bring animation to your web projects
Translated"Deep Learning from Scratch" (O'Reilly Japan, 2016)
Repo for my 'Learning JavaScript Design Patterns' book
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Translated"Interpretable Machine Learning -- A Guide to Understanding the Interpretability of Black-Box Models", the Chinese edition of the book "Interpretable Machine Learning"
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
- agent
- agentic
- agentic-ai
- agentic-rl
《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）
- machine-learning
- software-architecture
- textbook
- computer-systems
TranslatedCompanion code for "21 Projects to Master Deep Learning: A Detailed Practical Guide Based on TensorFlow"
Release repo for our SLAM Handbook
TranslatedA complete Flutter development practice series, with online preview and PDF download. This series will fully explain how to quickly develop a complete Flutter APP from 0, accompanied by the highly polished open-source Flutter project GSYGithubAppFlutter. It will also provide some Flutter development details and tips, and then dive into the source code and practical examples to give you a comprehensive analysis of Flutter.
- flutter
- flutter-demo
- flutter-book
- flutter-learn
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
- artificial-intelligence
- deep-learning
- deep-neural-networks
- deep-reinforcement-learning
Code from various chapters in OSTEP (http://www.ostep.org)
Applied offensive security with Rust - https://kerkour.com/black-hat-rust
- rust
- security
- pentest
- pentesting
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
- machine-learning
- predictive-modeling
- islr
- statistical-learning
In-depth understanding of Node.js: Core Ideas and Source Code Analysis
- nodejs
- v8
- libuv
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
- deep-learning
- d2l
- data-science
- pytorch-implmention
Translated從零開始學 ReactJS (ReactJS 101, "Learning ReactJS from Scratch") is a Chinese-language introductory React tutorial book that hopes to be easy for beginners to understand at a glance, learning the React.js ecosystem (Flux, Redux, React Router, ImmutableJS, React Native, Relay/GraphQL etc.) from the basics to more advanced topics.