88 repositorios
Educational resources, tutorials, and guides for mastering the framework.
Explore 88 awesome GitHub repositories matching part of an awesome list · Learning & Reference. Refine with filters or upvote what's useful.
Este proyecto es un directorio mantenido por la comunidad que sirve como índice completo de herramientas de software, frameworks y materiales educativos. Funciona como una base de conocimientos de código abierto, organizando diversos dominios de ingeniería y recursos técnicos en una taxonomía estructurada para ayudar a los desarrolladores a descubrir contenido de alta calidad. El directorio se distingue por un modelo de revisión por pares descentralizado, donde colaboradores independientes curan, verifican y actualizan las entradas para garantizar su precisión y relevancia. Toda la información se almacena en un formato markdown de archivos planos con control de versiones, lo que garantiza la independencia de la plataforma, la transparencia y la auditabilidad de toda la colección. El proyecto cubre una amplia superficie de capacidades, que abarca el descubrimiento de recursos técnicos, el avance profesional y la gestión del conocimiento en desarrollo de software. Proporciona acceso a rutas de aprendizaje estructuradas, herramientas de infraestructura y seguridad, utilidades de gestión de datos y recursos especializados para campos que van desde la atención médica hasta las humanidades digitales. El repositorio se mantiene como una colección pública con control de versiones, lo que permite el acceso programático y las actualizaciones impulsadas por la comunidad a sus datos estructurados.
Curated list of speech and natural language processing resources.
Este proyecto es un repositorio centralizado de acceso abierto que sirve como directorio estructurado para la educación técnica y el desarrollo profesional. Funciona como una base de conocimientos impulsada por la comunidad, agregando materiales de aprendizaje de alta calidad para apoyar la accesibilidad global a los recursos de ciencias de la computación e ingeniería de software. La plataforma se distingue por un modelo de gobernanza colaborativa que utiliza flujos de trabajo revisados por pares para todas las adiciones y modificaciones de contenido. Al aprovechar archivos de texto estructurados y control de versiones descentralizado, el repositorio mantiene un índice legible por humanos y buscable que se actualiza y categoriza continuamente mediante el etiquetado de metadatos impulsado por la comunidad. La colección abarca una amplia gama de activos educativos, incluyendo literatura técnica completa, cursos en línea estructurados y tutoriales de programación interactivos. Los usuarios pueden acceder a recursos para la adquisición de habilidades, preparación de entrevistas y referencia rápida de sintaxis, con contenido organizado por lenguaje de programación, dominio técnico y lenguaje humano para facilitar el estudio autodirigido.
Free programming books.
This project is a community-driven educational repository that serves as a comprehensive directory of university-level computer science video lectures. It provides a structured learning path for students and professionals, aggregating high-quality academic resources to facilitate self-paced study across a wide range of technical disciplines. The repository distinguishes itself through a collaborative maintenance model, utilizing version control workflows to allow contributors to expand and update the collection. Content is organized within a single, version-controlled document that leverages
List of computer science and machine learning video courses.
This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and educational materials. It serves as a centralized knowledge base for developers and researchers, organizing tools and frameworks by their primary programming language and technical domain to simplify discovery across the artificial intelligence ecosystem. The collection distinguishes itself by providing a cross-language development index that spans diverse programming environments, including C, C++, Rust, Clojure, and Python. It covers a wide range of specialized capabilities, fr
Curated list of machine learning frameworks and libraries.
This project is a community-driven repository of high-quality, university-level computer science courses and learning materials. It serves as an open-source knowledge base, providing developers and students with direct access to structured curricula and academic resources designed to facilitate independent study and technical skill development. The repository distinguishes itself through a hierarchical taxonomy that organizes diverse technical subjects into a navigable structure. By utilizing markdown-based content curation, the project maintains a lightweight index of external links and refe
Computer science and programming courses.
CPlusPlusThings is an educational and technical resource collection featuring C++ coding exercises, a concurrency library, and a programming guide. It provides structured drills and real-world challenges to reinforce language proficiency and offers technical analysis of the internal implementation of the standard library. The project implements software architecture patterns and industry-standard idioms, including the singleton pattern and resource acquisition is initialization. It also includes a framework for building logging systems with configurable severity levels and output destinations
C++ learning resources
This project is a comprehensive technical knowledge base designed to support developers in mastering systems programming and preparing for technical assessments. It provides a structured collection of fundamental computer science concepts, mapping high-level language constructs to low-level hardware memory layouts, runtime object lifecycles, and system-level operations. The repository distinguishes itself through a hierarchical approach that bridges the gap between theoretical principles and practical implementation. It offers detailed guidance on C++ language mechanisms, standard library usa
Technical interview knowledge summary
This repository serves as a comprehensive, curated collection of open-source implementations focused on artificial intelligence, machine learning, and computer vision. It functions as a centralized knowledge base and technical resource index, providing students and professional engineers with a structured directory of code examples for educational and practical reference. The project distinguishes itself through a community-driven curation model, relying on manual updates and contributions to maintain a relevant and expansive archive. By organizing these resources into categorized lists, the
Large collection of machine learning project examples.
This project is an educational repository and collection of algorithms implemented in C++. It provides a structured set of code examples covering mathematics, computer science, and physics for reference and learning. The collection includes implementations of data structures for managing hierarchical and linear data, such as binary search trees and AVL trees. It also features simulations of computer science concepts, including CPU scheduling and the resolution of combinatorial puzzles. The repository further covers cryptographic examples through the implementation of classic encryption and e
Collection of algorithms for education
A complete daily plan for studying to become a machine learning engineer.
ML guide tailored for software engineering backgrounds.
This project is a computational statistics textbook and Bayesian data analysis course. It serves as a guide for performing statistical inference and quantifying uncertainty through a probabilistic programming workflow using Python. The resource employs a computation-first pedagogy, teaching Bayesian methods and parameter estimation through executable code and simulations instead of formal mathematical notation. It provides a practical approach to implementing Markov Chain Monte Carlo sampling to estimate posterior distributions. The content covers building probabilistic models, integrating e
Introduction to Bayesian methods and probabilistic programming.
This project is a curated directory of resources, libraries, and frameworks designed to support the development, training, and deployment of neural network models. It serves as a comprehensive guide for navigating the machine learning ecosystem, providing structured access to software utilities and research materials. The directory distinguishes itself by aggregating tools across the entire machine learning lifecycle, ranging from data management and experiment tracking to production-ready model deployment. It functions as a central hub for discovering both foundational academic research and
Comprehensive list of deep learning resources.
This project is a curated knowledge repository that catalogs common misconceptions and technical edge cases encountered across software development. It serves as a collaborative reference archive, aggregating insights from a global network of developers to help engineers identify and address logical fallacies in their systems. The repository distinguishes itself through a hierarchical taxonomy that organizes complex technical pitfalls into categorized schemas. By documenting these real-world complexities, it assists developers in refining data validation strategies and designing more resilien
Common misconceptions in programming.
The most cited deep learning papers
Curated list of impactful deep learning research papers.
This project is an educational resource designed to help developers transition from traditional C++ standards to modern language features. It serves as a technical reference manual and a self-paced curriculum, providing a structured path for mastering the evolution of the language and adopting contemporary programming practices. The material is organized chronologically by language standard, allowing readers to track the development of syntax and features over time. Each topic is presented through a combination of theoretical explanations and modular code examples, supported by exercise-drive
Modern C++ tutorial
This repository serves as a structured educational resource for machine learning and data science, providing a centralized collection of tutorials, lecture notes, and implementation guides. It is designed to support self-directed learning by organizing complex technical concepts into a clear, hierarchical path that spans from foundational statistical methods to advanced deep learning architectures. The project distinguishes itself through a comprehensive approach to skill development, bridging the gap between theoretical algorithmic foundations and functional software applications. It offers
Collection of tutorials and resources for machine learning.
This project is a community-driven academic resource repository that serves as a collaborative knowledge base for students. It functions as an open-source educational archive, providing a centralized collection of student-contributed study materials, lecture notes, and exam resources organized by academic subject. The platform distinguishes itself by utilizing a structured directory index that allows users to navigate and locate standardized educational documents efficiently. By leveraging version control systems and plain-text authoring, the repository facilitates community contributions whi
University course resources
This repository serves as a technical reference and educational resource for implementing software design patterns within the Swift programming language. It provides a collection of common architectural patterns designed to help developers structure codebases for improved maintainability, scalability, and system organization. The project focuses on applying fundamental object-oriented and protocol-oriented principles to manage relationships between classes and objects. It demonstrates how to use language-level interfaces to define shared behaviors and how to organize components into cohesive
Design patterns implemented in Swift.
This project is a community-driven academic resource index and knowledge base dedicated to the study of transfer learning and domain adaptation. It functions as a curated repository of scholarly materials, including academic papers, tutorials, datasets, and benchmarks, designed to support research into how machine learning models apply knowledge from one task to another. The repository organizes these resources into a hierarchical taxonomy to facilitate the discovery of specialized methodologies. By leveraging distributed version control, the project maintains an evolving archive of research
Curated list of resources for transfer learning.
This project is a comprehensive, crowdsourced directory of mathematical resources, functioning as a decentralized index of external educational materials. It organizes a vast collection of textbooks, lecture notes, and research tools into a hierarchical taxonomy, allowing users to navigate diverse mathematical disciplines through a version-controlled repository. The collection distinguishes itself by acting as a central hub for both academic discovery and practical application. It provides access to a wide array of interactive software, visualization tools, and step-by-step solvers designed t
Mathematics resources for computer science.