Translated👶🏻 Encyclopedia of major knowledge & technical interviews for junior developers 📖
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Translated👶🏻 Encyclopedia of major knowledge & technical interviews for junior developers 📖
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Architecture decision record (ADR) examples for software planning, IT leadership, and template documentation
📺 Discover the latest machine learning / AI courses on YouTube.
A curated list of practical Codex skills for automating workflows across the Codex CLI and API.
📝 A curated list of awesome Raspberry Pi tools, projects, images and resources
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Companion webpage to the book "Mathematics For Machine Learning"
Swift Featured Projects in brain Mapping
Oxford Deep NLP 2017 course
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows — particularly Claude Code
by ex-googlers, for ex-googlers - a lookup table of similar tech & services
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
TranslatedA collection of technical quick-reference lists (Cheat Sheets) for developers, organizing common technologies, tools, and development workflows to help quickly look up key information and improve development efficiency.
A FREE comprehensive reverse engineering tutorial covering x86, x64, 32-bit/64-bit ARM, 8-bit AVR and 32-bit RISC-V architectures.
Natural Language Processing Tutorial for Deep Learning Researchers
⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TranslatedLlama Chinese community: compiles the latest Llama learning materials in real time and builds the best open-source ecosystem of Chinese Llama large models, fully open source and commercially usable
TranslatedSome interesting examples of python crawlers that are friendly to beginners. Mainly crawls websites such as 淘宝 (Taobao, "searching for treasure"), 天猫 (Tmall, "sky cat"), 微信 (WeChat, "micro message"), 微信读书 (WeChat Reading), 豆瓣 (Douban, "bean petal"), and QQ.
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