Awesome GitHub RepositoriesGraph Relationship Modeling

This project is a collection of programming language references and syntax cheat sheets designed for rapid developer onboarding. It serves as a library of code-based documentation that uses valid source code files to provide whirlwind tours of various language specifications. The project focuses on programming language learning by providing concise, commented code examples that explain core features and syntax in place. This approach enables developers to quickly grasp language-specific patterns, data types, and execution flow through a consistent reference format. The content covers a broad

Gonum is a numerical computing library for the Go programming language, providing a collection of packages for scientific computing, linear algebra, statistics, and optimization. It functions as a framework for performing complex numerical computations and solving systems of linear equations. The project includes a dedicated graph analysis framework for modeling network graphs and solving connectivity and pathfinding problems. It also provides a statistical analysis toolkit for computing descriptive and inferential statistics and estimating mixture entropy. The library's capability surface c

This repository is the official documentation for TensorFlow, a machine learning framework. It provides comprehensive guides, tutorials, and API references for building, training, and deploying machine learning models. The documentation covers the full lifecycle of machine learning projects, from constructing data pipelines and building neural networks with high-level APIs to customizing training loops and deploying trained models in production, on edge devices, or in browsers. The documentation includes step-by-step tutorials for a range of tasks, including reinforcement learning, ranking mo

Highly extensible platform for developers to better understand the complexity of Kubernetes clusters.

Ce projet est une bibliothèque d'algorithmes C# et une collection de structures de données. Il sert de référence en informatique fournissant des implémentations pratiques de modèles classiques de tri, de recherche et de parcours de graphes. La bibliothèque inclut une boîte à outils dédiée au traitement des chaînes pour analyser la similarité de texte, calculer les distances d'édition et gérer les recherches basées sur les préfixes. Elle propose également une implémentation de la théorie des graphes pour modéliser les relations réseau et calculer les chemins les plus courts. La base de code couvre un large éventail de capacités, incluant la gestion de collections linéaires et hiérarchiques, la manipulation et la visualisation de structures de données arborescentes, et le calcul de séquences numériques mathématiques.

Algodeck is an open-source collection of flash cards designed for reviewing algorithms, data structures, and system design concepts, specifically curated for technical interview preparation. The project organizes knowledge into atomic question-and-answer pairs and incorporates spaced repetition scheduling to optimize long-term memory retention. The flash card catalog covers a broad range of computer science topics, including classic sorting algorithms like quicksort and mergesort, data structure operations for arrays, trees, heaps, tries, and graphs, as well as bit manipulation techniques for

Oasis est un simulateur social multi-agents alimenté par LLM et un outil de recherche conçu pour étudier les phénomènes sociaux synthétiques. Il fonctionne comme une plateforme de réseau social synthétique, reproduisant l'infrastructure des sites sociaux, y compris les profils d'utilisateurs, les relations de suivi et les mécanismes de découverte de contenu pour modéliser des comportements sociaux humains à grande échelle. Le framework orchestre des populations d'agents à grande échelle, prenant en charge jusqu'à un million d'agents autonomes. Il se distingue en traduisant les sorties des modèles de langage en actions sociales concrètes et en exécutions d'outils externes via un orchestrateur d'appel d'outils, tout en utilisant une horloge de simulation à temps accéléré pour découpler les séquences d'événements du temps réel. Le système couvre de larges domaines de capacités, notamment la modélisation de plateformes sociales, la cartographie de réseaux sociaux basée sur des graphes et la recommandation de contenu basée sur des algorithmes. Il fournit des outils de recherche spécialisés pour la modélisation de la propagation de l'information, l'analyse de la polarisation de groupe et l'interview d'agents, soutenus par une journalisation persistante des activités pour l'analyse rétrospective des données. Le projet est implémenté en Python.

TypeDB est une base de données orientée graphe fortement typée et un système de gestion de graphes de connaissances. Il sert de magasin de données multi-modèles qui unifie les structures relationnelles, documentaires et de graphes dans un environnement unique, fonctionnant à la fois comme une base de données conforme ACID et un moteur de requête déclaratif. Le système se distingue par l'utilisation de la modélisation par hypergraphes n-aires et de hiérarchies de types polymorphes. Il emploie un schéma fortement typé pour appliquer des règles structurelles et valider l'intégrité des données, permettant une inférence polymorphe basée sur les types et un polymorphisme d'interface basé sur les rôles pour résoudre automatiquement les relations complexes lors de l'exécution des requêtes. La plateforme couvre un large éventail de capacités, notamment le calcul de relations récursives via le tabling, les transactions avec isolation par snapshot et la récupération de données déclarative. Elle prend également en charge la haute disponibilité via la réplication de cluster basée sur le consensus, le contrôle d'accès basé sur les rôles et l'intégration avec des agents IA pour la récupération de données structurées. La gestion est prise en charge via une interface de ligne de commande, et le système fournit des outils pour visualiser les schémas de graphes et auditer l'activité administrative.

Apache AGE is a graph database extension for PostgreSQL that adds openCypher graph query capabilities directly within the relational database environment. It functions as a loadable extension that translates Cypher graph traversal queries into SQL expressions, enabling users to run pattern matching and path analysis alongside standard SQL operations within a single database instance. The extension stores labeled, directed property graphs as isolated schemas with internal relational tables for vertices, edges, and labels, preventing cross-graph interference. It supports hybrid query execution

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

Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di

FalkorDB is a high-performance graph database management system and vector graph database. It serves as a knowledge graph construction tool and a GraphRAG knowledge store, integrating structured property graphs with vector search to provide grounded context for large language models. The engine is designed as a multi-tenant graph engine, capable of hosting thousands of isolated datasets within a single instance. The system distinguishes itself by using linear algebra for query execution, treating relationship tensors as matrix multiplications to achieve low-latency multi-hop traversals. It ut

Gramps is genealogy management software designed to document family trees, ancestral records, and genealogical research. It functions as a family history database that stores complex kinship links and historical records while providing full data versioning. The platform includes a kinship relationship graph for rendering ancestral connections as interactive diagrams and a geographic family tree visualizer that uses spatial data to display the movement and distribution of ancestors. It is built as an extensible platform that supports third-party plugins for custom reports, filters, and interfa

BloodHound is an identity risk management platform and graph-based attack path analyzer used to map identity relationships and permissions in Active Directory. It functions as a security tool for auditing directory services, uncovering unintended privilege relationships, and visualizing sequences of permissions that can lead to domain compromise. The project differentiates itself as a comprehensive adversary emulation framework that coordinates remote agents and executes post-exploitation commands. It includes a reverse proxy for bypassing multi-factor authentication via real-time session hij

likec4 is an architecture-as-code framework that transforms text-based architecture definitions into interactive diagrams, static websites, and image files. It serves as a system architecture visualizer and C4 model diagram generator, allowing users to define software components, boundaries, and deployment infrastructure using a domain-specific language. The tool distinguishes itself by providing a modeling environment with Language Server Protocol integration for real-time validation and autocomplete. It enables interactive architecture documentation where users can navigate through hierarch

Diagram Maker is a web-based library designed for building interactive graph visualization and data modeling tools. It provides a framework for rendering node and link structures, allowing users to create custom editing environments where complex data relationships can be visualized and manipulated directly in the browser. The library utilizes a modular, plugin-driven architecture that enables developers to extend the core editing functionality to meet specific requirements without altering the underlying source code. It manages the application state through a centralized, immutable store, en

This project is a comprehensive technical interview study resource designed to help developers prepare for engineering job assessments. It functions as a structured guide that curates essential computer science fundamentals, web development standards, and programming language concepts into a format optimized for professional evaluation. The repository distinguishes itself by providing strategic guidance on architectural decision-making and professional communication. Beyond simple question-and-answer pairs, it offers frameworks for articulating experience during interviews and suggests profes

This repository serves as an educational collection of practical examples and tutorials designed to facilitate the study of machine learning and data science concepts using Python. It provides a structured environment for learning core algorithms and data analysis techniques through hands-on implementation and iterative exploration. The project covers a broad range of analytical capabilities, including predictive modeling for regression, classification, and clustering tasks, as well as network topology analysis for identifying influence patterns in interconnected data. It also incorporates na