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 ist eine PHP-Bibliothek für die reversible Transformation numerischer und hexadezimaler Datenbank-IDs in nicht-sequenzielle, maskierte alphanumerische Identifikatoren. Sie fungiert als Werkzeug, um numerische Datenbank-IDs in kurze Strings zu enkodieren und diese wieder in ihre ursprünglichen Werte zu dekodieren. Das Projekt konzentriert sich darauf, interne Datenbank-Primärschlüssel und sequenzielle Datensatz-Zählungen in öffentlichen URLs zu verbergen, um Data-Scraping und Offenlegung zu verhindern. Es nutzt ein geheimes Salt für deterministisches Mapping und unterstützt anpassbare Zeichensätze, um eindeutige Identifikatoren über verschiedene Projekte hinweg zu gewährleisten. Die Bibliothek bietet Utilities für die Obfuskation sowohl numerischer als auch hexadezimaler IDs und ermöglicht die Generierung maskierter Identifikatoren, die für eine sichere Datenhandhabung in ihr ursprüngliches Format zurückversetzt werden können.

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 ist ein genomisches Large Language Model und Foundation Model, das darauf ausgelegt ist, genetische Informationen über verschiedene Spezies hinweg vorherzusagen, zu generieren und zu analysieren. Es fungiert als Nukleotid-Sequenz-Modellierer und DNA-Sequenz-Generator und nutzt Transformer-basiertes Sequenz-Modeling zur Verarbeitung genomischer Daten. Das System bietet Funktionen zur synthetischen DNA-Generierung, um neue genetische Sequenzen basierend auf biologischen Prompts oder spezies-spezifischen Tags zu erstellen. Es führt zudem Nukleotid-Wahrscheinlichkeitsvorhersagen durch, um genomische Varianten zu bewerten und biologische Eigenschaften innerhalb von DNA-Sequenzen zu analysieren. Das Modell unterstützt die Analyse genomischer Sequenzen durch die Extraktion hochdimensionaler Repräsentationen aus Zwischenschichten. Diese Embeddings ermöglichen spezialisierte Klassifizierungen und weiterführende Analysen genetischer Daten.

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