Awesome GitHub RepositoriesDeveloper Skills

This repository serves as a comprehensive educational resource covering core computer science concepts, software engineering principles, and system architecture. It provides detailed explanations of fundamental data structures and algorithms, alongside in-depth analysis of database management systems, including transaction properties, storage engines, and concurrency control mechanisms. The collection also offers extensive documentation on the Java programming language, ranging from collection internals and memory management to concurrency primitives and object-oriented design patterns. Furth

This project is a comprehensive study guide and knowledge base for deep learning, machine learning, and the associated mathematics required for artificial intelligence. It functions as a curated collection of technical questions and answers designed to help users study fundamental theories and practical applications. The repository serves as a technical interview preparation resource by aggregating industry-standard questions and core knowledge points. It provides a structured reference for reviewing neural network architectures and specific techniques used in computer vision, such as object

This project is a curated educational resource and solution repository for algorithmic challenges, specifically focused on LeetCode problems. It serves as a technical reference for common data structures and algorithmic patterns, providing verified code implementations across multiple programming languages alongside detailed logic and complexity analysis. The repository functions as a comprehensive study guide for competitive programming and technical interview preparation. It includes specialized learning tools such as an Anki flashcard dataset for spaced repetition and a browser extension t

This project is a Chinese translation of a comprehensive self-study guide for learning core computer science concepts and theoretical foundations. It serves as a community-driven effort to provide a professional academic path for computer science outside of a formal university program. The project is organized as an open-source translation effort using a pull-request workflow to manage community contributions and peer reviews. Educational materials are maintained as a structured collection of Markdown files and delivered as static site documentation for web access.

Waking-Up is a backend interview study guide and computer science knowledge base. It serves as a learning path for candidates to master the essential theory required for backend engineering roles through a curated repository of core concepts. The project functions as a technical interview question bank, pairing common interview questions with detailed follow-up queries. This structure is designed to simulate real technical screenings and test the depth of a candidate's knowledge. The content covers fundamental computer science domains, specifically operating systems, networking, and database

AI-Job-Notes est un guide de recherche d'emploi et un curriculum d'entretien technique organisé spécifiquement pour les rôles en intelligence artificielle et vision par ordinateur. Il fonctionne comme une base de connaissances markdown et un dépôt de site statique qui organise les données de recrutement, les supports d'étude et les listes d'entreprises. Le projet fournit des ressources pour la recherche d'emploi en algorithmes IA, y compris des répertoires d'entreprises et des benchmarks de salaire basés sur la géographie et le parcours éducatif. Il couvre la planification du recrutement sur campus via le suivi des fenêtres de candidature et des cycles de stage. Le dépôt inclut des supports pour la préparation aux entretiens techniques, se concentrant sur les fondamentaux du deep learning et le développement des compétences en codage. Cela implique des guides d'étude structurés pour les structures de données, les algorithmes et les ensembles de problèmes à haute fréquence.

1. 数学相关(Math) 2. 机器学习基础相关(ML) 3. 深度学习相关(DL) 4. 计算机视觉相关(CV) 5. 基础算法题相关(AL) 6. 算法语言相关(LA)

Claude Code stock analysis skill: SEC EDGAR market data, /analyze /score /compare — free, local Python tools. By XVARY Research.

Public Repository for agent skills

Skills, plugin stack, and MCP configuration for Ethical Capital.