Stars
PyTorch Tutorials from my YouTube channel
Computer vision and Deep learning
This project demonstrates multithreading in Node.js using the worker_threads module, with safe shared memory operations via the Atomics and SharedArrayBuffer APIs.
The Mail Server Checker is a PHP new tool designed to analyze and verify the different protocols (SPF, DMARC, DKIM) releated to the domain mail server.
Node.js backend that unifies multiple AI models into one API featuring rate limiting, caching, input validation, streaming, and monitoring.
AI-powered FAQ Bot is a backend solution built with NodeJS (Express) that integrates with OpenAI to provide AI-generated answers to user queries.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
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Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Welcome to the API Design Study Repository! This project is a hands-on exploration of API-design, covering REST API, GraphQL, and gRPC.
This is a modern RESTful API built with Node.js and Express, designed to interact with a PostgreSQL database.
Welcome to the repository for my personal portfolio website! This project showcases my technical skills, projects, and expertise in software engineering.
bhza / metabase
Forked from metabase/metabaseThe easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data 📊
These codes were written for advanced theory of computation class presented by Dr. Alizadeh in Tehran University at Feb 2025
In this project, I implement an enhanced active contour method that uses discrete wavelet transform for energy minimization to increase the accuracy.
Delvelin is a Code Vulnerability Analyzer for Java and Kotlin that supports best practices in security and risk management.
An example of implementing Liveness Detection and Identity OCR on android application using Kredibel-Vision-SDK.
Create random background patterns with particle.js
This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.
Any algorithms that i wrote in these years...
With the computer vision we want to detect the growing up width and height of element...
This is a simple game project for my university.