Mahdi's starred repositories
awesome-cto
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
hiddify-next
Multi-platform auto-proxy client, supporting Sing-box, X-ray, TUIC, Hysteria, Reality, Trojan, SSH etc. It’s an open-source, secure and ad-free.
oblivion-desktop
Oblivion Desktop - Unofficial Warp Client for Windows/Mac/Linux
ab-download-manager
A Download Manager that speeds up your downloads
WinThumbsPreloader
WinThumbsPreloader is a simple open source tool for preloading thumbnails in Windows Explorer.
display-drivers-uninstaller
Display Driver Uninstaller (DDU) a driver removal utility / cleaner utility
ProxyCollector
Automatically collects and tests v2ray proxies and puts them in github for everyone to use.
batch-fragment-scanner
Batch Test v2ray fragment values to see which one works best on your network.
UPLOADER-BOT-V4
Create Your Own Telegram Uploader Bot V4 ❤️
Install-Xray-V2ray-On-Passwall-Openwrt
Install v2ray xray on openwrt passwall
Abuse-Defender
This simple bash script can block Abuse ip ranges in your server.
WTelegramBot
Telegram Bot API (local server) library providing more extended features
Hiddify-To-Marzban
Simply Migrate Your Users Using API From Hiddify to Marzban Panel
Limit-Calculator
A Limit Calculator windows app built using Tkinter (Python)
Car-Price-Prediction
Are you curious about the value of a car based on its features like manufacturing year, mileage, and fuel type? Our Car Price Prediction and Estimation Project is here to help! This project utilizes advanced machine learning models to predict and estimate car prices with exceptional accuracy.
Heart-Failure-Prediction
The Heart Disease Predictor is a Python project developed to classify whether an individual has heart disease based on specific input parameters. It utilizes the scikit-learn and NumPy libraries for implementation.
Prediction-Hotel-Reservation
Utilizing machine learning algorithms in Python to predict hotel reservation cancellations. The goal is to determine whether a hotel booking is likely to be canceled based on various booking features. This project aims to improve hotel management strategies and reduce cancellation-related losses.