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This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
Example Gatsby + Decap CMS project
A curated list of Android Security materials and resources For Pentesters and Bug Hunters
BNB Smart Chain
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Code for Command-Line Rust (O'Reilly, 2024, ISBN 9781098109417)
Open-source skills and toolkits that let Claude Code, Codex and other coding agents make video. 180 repos by type, each security-graded. English / 中文.
An unofficial styleguide and best practices summary for PyTorch
A comprehensive guide to 50 years of evolution of strict C programming, a tribute to Dennis Ritchie's language
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
The Swift Programming Language book
:sparkling_heart: A curated list of awesome things
AI-Powered Smart Resume Builder — 50+ professional templates, PDF/image parsing, AI optimization, JD match analysis, multi-format export. Open source & free, one-click Docker deployment.
A curated list for Awesome Kubernetes Security resources
Resources about public speaking
A discussion between John Ousterhout and Robert Martin about differences between John's book "A Philosophy of Software Design" and Bob's book "Clean Code".
Personalized, user-focused recommendations for employee information security.
From apprentice to master (CC BY-NC-ND)
Custom memory allocators in C++ to improve the performance of dynamic memory allocation
This repository is about @harshbothra_'s 365 days of Learning Tweets & Mindmaps collection.
📚 Novle setting | 小说书源及软件整理 爱阅书香 / 香色闺阁 / 阅读（含字体、净化规则、TTS配置）
A collection of research papers and software related to explainability in graph machine learning.
A curated list of Plugins that let you extend Claude Code with custom commands, agents, hooks, and MCP servers through the plugin system.