Awesome GitHub RepositoriesMathematical Notation Rendering

KaTeX is a typesetting library and web math renderer that transforms TeX and LaTeX mathematical notation into high-quality HTML and CSS for web browsers. It functions as a math notation parser and LaTeX to HTML converter, capable of operating as both a client-side library and a server-side math renderer to generate static HTML expressions. The project supports a wide range of specialized mathematical rendering, including chemical equation rendering, Bra-ket notation for quantum mechanics, and mathematical logic typesetting. It provides comprehensive controls for structural layouts such as mat

Macdown is a markdown text editor and HTML renderer designed for structured document composition. It provides a workspace for writing in lightweight markup syntax while simultaneously generating a live HTML preview of the rendered output. The editor distinguishes itself through a programmable interface, offering a command line utility to open files or pipe text directly into the application. It further supports extensibility via a plugin system that allows for the addition of custom features and functional modules at runtime. The application handles technical documentation requirements inclu

OnlineJudge is an automated platform for managing programming contests and evaluating submitted source code. It provides a complete online judge system that compiles, runs, and scores code submissions against predefined test cases within a sandboxed execution environment, ensuring the host system remains protected from untrusted user code. The platform supports both ACM-style penalty-based scoring and OI-style point-based scoring, with real-time leaderboard computation that dynamically updates participant rankings as submissions are judged. Contest organizers can create and schedule timed com

CherryTree este o aplicație de luare a notițelor ierarhice și un editor de documente rich text conceput pentru organizarea informațiilor într-un arbore imbricat de noduri. Funcționează ca un instrument de documentare integrat cu codul și o bază de cunoștințe criptată, utilizând SQLite sau XML pentru stocarea locală a datelor. Proiectul se distinge prin integrarea capabilităților centrate pe dezvoltator, cum ar fi evidențierea sintaxei și capacitatea de a executa blocuri de cod direct printr-un terminal extern. De asemenea, oferă criptare protejată prin parolă pentru a securiza datele stocate și a preveni accesul neautorizat la arborele de informații. Software-ul acoperă o gamă largă de capabilități de gestionare a conținutului, inclusiv randarea ecuațiilor matematice LaTeX, gestionarea conținutului media încorporat și hyperlink-uri interne și externe. Suportă portabilitatea datelor prin importul de conținut extern și exportul în formate multiple către PDF, HTML sau text simplu, alături de utilitare de căutare și înlocuire globală.

grok-prompts is a library of system prompts and templates used to define the personality, safety boundaries, and operational logic of large language models. It provides a framework for managing model personas and the integration of external tools through structured configurations. The project focuses on persona management to ensure consistent response styles and professional tones. It includes specific configurations for safety guardrails to prevent harmful outputs and a tool integration framework that enables models to interact with services for web search, image generation, and document ana

Hedgehog Lab is a browser-based scientific computing environment designed for executing numerical analysis, matrix operations, and symbolic computation directly within a web browser. It functions as a native engine for algebraic manipulation and equation solving, allowing users to perform complex mathematical tasks without requiring external server-side infrastructure or software installations. The platform distinguishes itself by leveraging hardware acceleration to process large-scale linear algebra and matrix calculations. It integrates a symbolic engine that parses mathematical expressions

This repository provides a comprehensive academic curriculum for machine learning and artificial intelligence. It serves as a structured educational framework, offering a collection of lecture materials and practical exercises designed to guide learners through the fundamental concepts and mathematical foundations of statistical modeling. The curriculum is delivered through interactive notebooks that combine explanatory text with executable code, allowing for real-time experimentation with algorithms. The content is organized into a modular hierarchy that separates theoretical instruction fro