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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

GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br

OpenCVSharp is a .NET library that wraps native OpenCV functions, providing C# developers with access to OpenCV's computer vision capabilities through an API that mirrors the native C/C++ style. It serves as a managed wrapper for image processing, feature detection, object detection, and image manipulation tasks, while also handling automatic disposal of unmanaged OpenCV resources like Mat objects to prevent memory leaks in .NET applications. The library enables keypoint detection and descriptor extraction using algorithms such as AKAZE, BRISK, or FAST, with brute-force or FLANN-based matchin

SwiftOCR est une bibliothèque Swift native conçue pour extraire du texte et des caractères alphanumériques à partir d'images. Elle fonctionne comme un reconnaisseur de texte par réseau de neurones qui identifie les caractères et les chaînes à partir de données visuelles. La bibliothèque inclut un entraîneur de modèle OCR personnalisé et des outils pour la reconnaissance de polices personnalisées. Ces capacités permettent la génération de réseaux de neurones spécialisés adaptés à des polices et des jeux de caractères spécifiques pour améliorer la précision de la reconnaissance. Le système utilise l'étiquetage des composantes connexes pour identifier les régions de caractères individuelles et emploie le traitement d'image pour convertir de courts codes alphanumériques en texte numérique.

This library is a multi-format barcode processing utility designed for web browsers and server-side environments. It provides a comprehensive suite of tools for both decoding existing barcode symbols and generating new ones from input data. The project distinguishes itself by enabling continuous, real-time barcode scanning directly from live video streams. By utilizing browser camera interfaces and automated frame processing, it allows applications to capture and interpret one-dimensional and two-dimensional barcode data without requiring manual image uploads or user intervention. Beyond rea

This project is a comprehensive repository of fundamental computer science algorithms and data structures designed as a reference for academic study, technical interview preparation, and competitive programming. It provides standardized implementations of core computational strategies, serving as an educational resource for developers to master software engineering fundamentals and algorithmic problem-solving. The collection distinguishes itself through a multi-language approach, offering cross-language solutions for complex tasks ranging from graph traversal and dynamic programming to bitwis