Awesome GitHub RepositoriesProblem Decomposition Frameworks

This project is a technical communication guide and developer support manual designed to help users frame high-quality technical questions to obtain helpful answers from online communities. It provides a structured troubleshooting framework for isolating problems and searching archives before requesting assistance from subject matter experts. The guide covers professional social norms and etiquette required to maintain a positive reputation within developer forums. It includes instructions on managing community interactions and following up after resolutions to handle technical social interac

This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven

This project is an academic research framework and PhD mentorship roadmap designed to guide the transition from basic technical concepts to independent scientific research. It serves as a research workflow guide and project management system for identifying scientific problems, designing technical solutions, and executing experiments for academic publication. The system provides a structured methodology for translating long-term scientific objectives into actionable roadmaps, publications, and technical milestones. It includes a scientific writing guide and a set of presentation toolkits cont

CS-Xmind-Note is a collection of structured mind maps and conceptual diagrams serving as a comprehensive knowledge base for computer science fundamentals. It functions as an academic reference and study guide, organizing core subjects into a visual mapping of interdependent technical concepts. The project utilizes an XMind-compatible schema to model complex domains through hierarchical nodes and relational concept mapping. This approach allows for the visual representation of technical layers, linking hardware specifications to software abstractions. The knowledge base covers several primary

This project is a curated knowledge repository providing theoretical guides, practical challenge banks, and professional handbooks for technical interview preparation in data science and machine learning. It serves as a comprehensive study resource that combines theoretical knowledge with algorithmic practice. The repository features specialized study resources including a probability and statistics handbook, a machine learning reference for algorithms and neural network architectures, and a coding and SQL challenge bank designed to simulate recruitment assignments. It also includes a technic

This project is a machine learning study guide and technical knowledge base. It serves as a version-controlled repository of mathematical formulas and algorithmic explanations, providing instructional material and reference notes for the study of artificial intelligence. The content is structured as a markdown-based knowledge base that pairs theoretical mathematical explanations directly with code implementations. This approach demonstrates model mechanics in practice across several specialized domains, including deep learning research, probabilistic graphical modeling, and reinforcement lear

ML-foundations es un plan de estudios educativo de aprendizaje automático y una guía de estudio de ciencias de la computación. Proporciona una ruta de aprendizaje estructurada centrada en los fundamentos matemáticos y los requisitos previos computacionales necesarios para estudiar aprendizaje automático. El proyecto sirve como un curso de matemáticas en Python, entregando cuadernos interactivos y ejercicios de codificación para enseñar álgebra lineal, cálculo y estadística. Traduce fórmulas matemáticas abstractas en código algorítmico concreto para ayudar a los estudiantes a comprender los principios que sustentan los algoritmos de aprendizaje automático. El plan de estudios cubre los requisitos previos de ciencia de datos y conceptos fundamentales de programación a través del aprendizaje interactivo basado en cuadernos. Utiliza una descomposición temática modular para organizar las materias en directorios aislados para el estudio independiente.

This project is a computer science education resource and data structures and algorithms implementation library. It provides a structured collection of solved programming exercises and logic templates designed for educational study and technical interview preparation. The repository functions as an algorithmic pattern reference and study guide, offering a curated set of standard implementations used in software engineering coding assessments. It focuses on the practical application of core programming concepts to help students understand how to organize data and solve complex computational pr