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Proyecto Laravel con backend Filament y api para gestionar chistes y adivinanzas que consumir externamente mediante bots.

Projet Personnel réalisé par Mouaz MOHAMED (mr.mouazmohamed@gmail.com) ~ Installation complète de GLPI 10.0.14 sur Red Hat Enterprise Linux 9 (RHEL) via VMware Fusion sur macOS. Stack Apache/MariaDB/PHP (LAMP) installée, configuration GLPI, création d’utilisateurs, entités, matériels, tickets. Documentation complète et captures d’écran incluses.

Kerndokumentation und Ressourcen für das Quickstart Linux Projekt. Enthält Richtlinien, Arbeitsabläufe für Beiträge und einen Projektfahrplan für die Entwicklung von Vorlagen. Dient als zentraler Referenzpunkt für alle Projektteilnehmer.

An overview hub for SEC Linux initiatives. This repository provides information about our security-optimized Linux projects based on international standards (CIS, NIST, BSI). Explore our automated installation systems, hardening tools, and compliance verification solutions designed to deliver standardized and secure Linux environments.

led-heart | Project EE1

DSA project - Food Delivery App | e-commerce-app

Project9: Character Recognition (Input an image, Print single digits one-by-one)

marketplace-ui | talent-olympics

VotePeer Android app casting votes on-chain on Bitcoin Cash. Censorship resistant blockchain voting. Website

The python-native Latina Conservatory version of the SMS (Spectral Modeling Synthesis) tools developed by Xavier Serra in his Phd thesis in 1989.

a pure python library to convert MIDI files in csound scores

This is an automatic README markdown filler to quickly fill up README.md lessons with contents. Natively written in ruby.

No Fuss Computing's Operations Jobs and data

Template repository for an initial project's super project repository.

mo2tex is a pure ruby Monte Ore to LaTeX table combiner.

tmd* is a simple tendency mask designer.

Proyecto con raspberry pi pico para tener un gadget monitorizando el clima del entorno en tiempo real

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.

Change features for a number of projects or all projects in specified groups.