Awesome GitHub RepositoriesVisitor Identification

Fingerprint is a visitor identification and fraud detection platform that generates persistent, unique identifiers by analyzing browser and device attributes. By extracting technical signals from the client environment, it enables reliable user tracking across sessions without relying on traditional cookies. The platform distinguishes itself through its focus on high-accuracy identification and security-first architecture. It employs edge-side proxying to bypass ad-blockers and privacy restrictions, ensuring consistent data collection. To maintain data integrity, it uses cryptographic payload

Invoice Ninja is a professional billing and invoicing platform designed for managing clients, projects, and financial records. It serves as a multi-currency billing system and time tracker available as both a cloud-based application and a self-hosted suite. The platform distinguishes itself through comprehensive support for regional taxes, diverse currency formats, and automated exchange rate updates. It includes dedicated cross-platform mobile and desktop applications to manage business data across different operating systems. The software covers the end-to-end financial lifecycle, includin

NSFW detection on the client-side via TensorFlow.js

Vendure is a Node.js e-commerce engine and headless commerce framework built with NestJS and TypeScript. It serves as a multi-channel commerce platform that manages product catalogs, orders, and customers via a strongly typed GraphQL API. The platform is distinguished by its highly extensible architecture, featuring a customizable administrative dashboard where developers can inject custom React components and entity views. It supports multi-channel commerce, allowing the isolation of products, currencies, and regional catalogs from a single unified backend. The engine covers a broad range o

Goatcounter is a privacy-focused web analytics platform designed to be self-hosted on your own infrastructure. It collects visitor statistics like page views, browser information, location, screen size, and referring sites without using cookies or storing any personal data, identifying unique visits through a non-identifiable hash derived from browser and network data. The platform distinguishes itself by offering multiple tracking methods that respect user privacy, including a lightweight JavaScript snippet, an image-based tracking pixel for environments without JavaScript, and the ability t

Goatcounter is a self-hosted web analytics platform that collects visitor statistics without cookies, personal data, or persistent identifiers. It uses privacy-preserving techniques like anonymous session hashing to count page views and visits, and can be deployed on your own infrastructure using a binary or Docker container with SQLite or PostgreSQL storage. The platform offers multiple data collection methods, including a lightweight JavaScript snippet, an image-based tracking pixel for environments where scripts are blocked, and server log file parsing from nginx, Apache, Caddy, or CloudFr

Hashids est une bibliothèque PHP pour la transformation réversible de clés de base de données numériques et hexadécimales en identifiants alphanumériques masqués non séquentiels. Elle fonctionne comme un outil pour encoder des identifiants de base de données numériques en chaînes courtes et les décoder vers leurs valeurs originales. Le projet se concentre sur le masquage des clés primaires de base de données internes et des compteurs d'enregistrements séquentiels dans les URL publiques pour prévenir le scraping et l'exposition de données. Il utilise un sel secret pour un mapping déterministe et supporte des jeux de caractères personnalisables pour garantir des identifiants uniques à travers différents projets. La bibliothèque fournit des utilitaires pour l'obfuscation d'ID numériques et hexadécimaux, permettant la génération d'identifiants masqués qui peuvent être restaurés à leur format original pour une manipulation sécurisée des données.

CTranslate2 is a C++ inference engine and runtime for Transformer models, designed to execute models on both CPU and GPU with optimizations for speed and memory efficiency. It functions as a model format converter, quantization tool, and REST API server, enabling deployment of neural machine translation, automatic speech recognition, and text generation models. The engine distinguishes itself through a suite of runtime optimizations including layer fusion, weight-matrix quantization, batch-by-length grouping, and a caching allocator that reuses GPU memory. It supports tensor-parallel model di

evo2 est un modèle de langage étendu (LLM) et un modèle de fondation génomique conçu pour prédire, générer et analyser des informations génétiques à travers différentes espèces. Il fonctionne comme un modeleur de séquences nucléotidiques et un générateur de séquences d'ADN, utilisant la modélisation de séquences basée sur les transformers pour traiter les données génomiques. Le système offre des capacités de génération d'ADN synthétique, créant de nouvelles séquences génétiques basées sur des prompts biologiques ou des tags spécifiques à une espèce. Il effectue également la prédiction de probabilité nucléotidique pour noter les variants génomiques et analyser les propriétés biologiques au sein des séquences d'ADN. Le modèle prend en charge l'analyse de séquences génomiques grâce à l'extraction de représentations de haute dimension à partir des couches intermédiaires. Ces embeddings permettent une classification spécialisée et une analyse en aval des données génétiques.

LLaDA is a masked diffusion language model and conditional text generator. It generates text by iteratively refining masked tokens through a diffusion process rather than predicting the next token in a sequence. The project functions as a vision-language diffusion model, converting visual inputs into text responses. It also serves as a preference optimization framework that uses log-likelihood estimation and evidence lower bounds to tune model responses. The system supports multi-round conversational AI and text sequence evaluation. It integrates vision-language embedding for cross-modal con