Awesome GitHub RepositoriesAlgorithm Libraries

This project is a comprehensive technical interview question bank and reference library designed for software engineering roles at major technology companies. It serves as a study guide and knowledge base covering the core principles of high-performance systems programming and computer science theory. The collection focuses on deep technical domains, including C++ language mastery, distributed systems design, and database engineering. It provides detailed material on consensus protocols, cluster coordination, and the architectural differences between SQL and NoSQL implementations. The resour

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

This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming. It serves as a centralized repository for algorithmic theory, data structures, and mathematical techniques, providing a structured reference for informatics and collegiate programming competitions. The project distinguishes itself by integrating educational content with a robust suite of automation utilities. It provides a complete workflow for competitive programming, including tools for automated test case generation, solution verification, and direct interaction with onlin

This project is a comprehensive library of fundamental computer science algorithms and data structures implemented in C. It provides a collection of modular, portable code blocks designed for educational purposes and integration into production software, focusing on procedural execution and direct hardware interaction. The library distinguishes itself through a focus on low-level systems programming, offering memory-efficient implementations of stacks, queues, linked lists, and trees. It includes specialized suites for cryptographic data protection, audio signal processing, and network commun

Cosmos is a comprehensive collection of fundamental computational algorithms and data structures implemented in C++. It serves as an educational resource and reference library, providing structured source code examples for core computer science concepts including sorting, searching, graph theory, and dynamic programming. The project is designed for modularity and ease of integration, utilizing a header-only distribution model that allows developers to incorporate specific algorithms without complex build dependencies. By employing template-based generic programming and namespace-scoped organi

Libsodium is a portable, C-based cryptographic library that provides a collection of modern primitives for encryption, decryption, digital signatures, password hashing, and secure key exchange. It is designed to facilitate secure communication and data integrity across diverse hardware architectures and operating systems. The library distinguishes itself by utilizing constant-time primitive execution to prevent side-channel attacks and employing memory-hard algorithms to increase the difficulty of brute-force password attacks. It abstracts complex mathematical operations into simplified inter

Chibicc is a C11 compiler designed as a reference implementation for studying compiler construction. It translates C source code into machine-specific assembly instructions by utilizing a pipeline that includes lexical analysis, recursive descent parsing, and single-pass code generation. The project serves as an educational tool for understanding the internal architecture of compilers, from initial tokenization to the final emission of machine code. The compiler distinguishes itself through its self-hosting capability, which allows the software to compile its own source code into a functional

The Android NDK samples provide a comprehensive collection of code examples demonstrating how to integrate C and C++ native code into Android applications. This repository serves as a practical guide for developers utilizing the Android Native Development Kit to implement performance-critical application components that require direct hardware access and low-level system interaction. The project highlights the use of the Java Native Interface to bridge managed code with native modules, enabling cross-language function calls and efficient data exchange. It demonstrates how to manage native act

Mamba is a package manager for scientific and data science workflows that implements a high-performance dependency solver in C++. It uses a SAT-based resolution model and a specialized library for metadata processing to calculate compatible package versions across different operating systems. The project provides a standalone executable runtime, allowing the creation of isolated package environments without requiring a pre-existing system installation. It ensures reproducible environment setup by utilizing lock files to pin exact package versions and channels. The system supports containeriz

ccv is a computer vision library written in C designed for high-performance visual analysis. It serves as a framework for image classification, object detection, and the identification of faces, pedestrians, and vehicles. The library distinguishes itself through hardware-accelerated vision and deep learning inference optimizations. It utilizes a quantized tensor processor to transform floating-point data into eight-bit integers and implements integer-quantized attention mechanisms to reduce memory bandwidth and increase data throughput. The project covers a broad range of capabilities, inclu

यह प्रोजेक्ट एक C# एल्गोरिदम लाइब्रेरी और डेटा स्ट्रक्चर्स का संग्रह है। यह क्लासिक सॉर्टिंग, सर्चिंग और ग्राफ़ ट्रैवर्सल पैटर्न के व्यावहारिक इम्प्लीमेंटेशन प्रदान करने वाले कंप्यूटर साइंस संदर्भ के रूप में कार्य करता है। लाइब्रेरी में टेक्स्ट समानता का विश्लेषण करने, एडिट डिस्टन्स की गणना करने और प्रीफ़िक्स-आधारित खोजों को मैनेज करने के लिए एक समर्पित स्ट्रिंग प्रोसेसिंग टूलकिट शामिल है। इसमें नेटवर्क संबंधों को मॉडल करने और सबसे छोटे रास्तों की गणना करने के लिए एक ग्राफ़ थ्योरी इम्प्लीमेंटेशन भी है। कोडबेस क्षमताओं की एक विस्तृत श्रृंखला को कवर करता है, जिसमें लीनियर और पदानुक्रमित संग्रहों का प्रबंधन, ट्री डेटा मैनिपुलेशन और विज़ुअलाइज़ेशन, और गणितीय संख्यात्मक अनुक्रमों की गणना शामिल है।

This project is a comprehensive collection of C++ libraries and toolkits providing reference implementations for data structures, graph algorithms, and bitwise logic. It serves as a C++ algorithm reference containing over 180 solved coding problems and a specialized toolkit for competitive programming. The repository distinguishes itself through extensive low-level bit manipulation libraries for parity checks, endianness detection, and XOR-based logic. It also provides a wide array of reference solutions for complex algorithmic challenges involving backtracking, graph theory, and dynamic prog

InterviewGuide is a comprehensive technical interview preparation platform that covers the full spectrum of software engineering recruitment, from foundational computer science concepts through to offer negotiation. It provides structured learning paths across algorithms, operating systems, databases, networking, and programming languages, with a particular emphasis on C++ and Go. The platform aggregates real interview experiences and company-specific questions from major tech employers, offering candidates a searchable database of past written exam problems and detailed accounts of actual int

This project is a collection of condensed technical references and study guides for the C++ language. It serves as a language cheat sheet and programming reference covering core syntax, standards, and data organization patterns. The resource provides specialized guides for algorithm study, data structure reference, and technical interview preparation. It includes materials for reviewing computational complexity and efficient data structure usage for competitive programming. The content covers broad capability areas including object-oriented programming, memory management, and generic program

tbox is a multi-platform C standard library and toolkit designed for portable software development. It provides a core foundation for low-level system programming through a collection of system primitives, data structures, and memory management tools. The project includes a coroutine framework for cooperative multitasking and asynchronous logic, a data structure library featuring generic containers with a consistent iterator interface, and a memory management toolkit for pool allocation and debugging of heap overflows and leaks. It also provides a network and serialization toolset for handlin

ML-foundations is a machine learning educational curriculum and computer science study guide. It provides a structured learning path focused on the mathematical foundations and computational prerequisites required for studying machine learning. The project serves as a Python mathematics course, delivering interactive notebooks and coding exercises to teach linear algebra, calculus, and statistics. It translates abstract mathematical formulas into concrete algorithmic code to help learners understand the principles underpinning machine learning algorithms. The curriculum covers data science p

Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr

यह प्रोजेक्ट एक C++ एल्गोरिदम कार्यान्वयन लाइब्रेरी और शैक्षिक कोडबेस है जो सैद्धांतिक पाठ्यपुस्तक स्यूडोकोड को सत्यापित, निष्पादन योग्य सोर्स कोड में अनुवादित करता है। यह एक संरचित रिपॉजिटरी के माध्यम से क्लासिक कंप्यूटर विज्ञान सिद्धांतों के व्यावहारिक अनुप्रयोग को प्रदर्शित करने के लिए डिज़ाइन किए गए संदर्भ कार्यान्वयन का एक संग्रह है। यह लाइब्रेरी टेम्पलेट-आधारित जेनेरिक प्रोग्रामिंग और C++ स्टैंडर्ड टेम्पलेट लाइब्रेरी का उपयोग करती है ताकि यह सुनिश्चित हो सके कि कार्यान्वयन टाइप-सेफ और विभिन्न डेटा प्रकारों में लचीले बने रहें। शुद्धता सुनिश्चित करने के लिए, प्रोजेक्ट में एक स्वचालित टेस्ट सूट शामिल है जो मानकीकृत इनपुट और आउटपुट टेस्ट मामलों के विरुद्ध निष्पादन परिणामों की तुलना करके एल्गोरिदम लॉजिक को मान्य करता है। कोडबेस कंप्यूटर विज्ञान के मौलिक डोमेन की एक विस्तृत श्रृंखला को कवर करता है, जिसमें सबसे छोटे पथ और अधिकतम प्रवाह विश्लेषण के लिए ग्राफ सिद्धांत, पदानुक्रमित ट्री और प्राथमिकता कतार प्रबंधन के लिए डेटा संरचनाएं, और गतिशील प्रोग्रामिंग और सामान्य-उद्देश्य सॉर्टिंग जैसी डेटा प्रसंस्करण तकनीकें शामिल हैं। इसमें स्ट्रिंग पैटर्न मिलान और ऑर्डर सांख्यिकी चयन भी शामिल है। तकनीकी संदर्भ गाइड संरचित सोर्स कोड टिप्पणियों से सीधे निकाले गए खोज योग्य HTML दस्तावेज़ के रूप में उत्पन्न होते हैं।

This project is a C++ learning resource and study guide consisting of structured notes and programming examples. It provides practical implementations and exercise solutions covering core language syntax, data types, and control flow. The repository features specialized samples for object-oriented design, including class inheritance, polymorphism, and abstract classes. It includes demonstrations of memory management techniques such as dynamic allocation, move semantics, and placement new, as well as template programming examples for creating generic functions and data structures. The codebas