🎓 Because Education should be free. Contributions welcome! 🕵️

This repository contains sample programs written primarily in C and C++ for learning native code reverse engineering.

Tutorial to install Debian virtual machine with functional WordPress site with the following services: lighttpd, MariaDB, PHP and Litespeed.

Some DLL Injection techniques in C++ implemented for both x86 and x64 windows OS processes

openSIS is a commercial grade, secure, scalable & intuitive Student Information System, School Management Software from OS4ED. Has all functionalities to run single or multiple institutions in one installation. Web based, php code, MySQL database.

Practice Clojure using Interactive Programming in your editor

🚀 Simple, educational dotfiles template to get started with Zsh and learn about its features

Guide to Allyship, an open source guide teaching you how to be a better ally.

All of the code for my Medium articles

Learn SQL by creating a SQL database in JavaScript

Writing a sqlite clone from scratch in C++

🛩Pubg Mobile Hack using Extra Sensory Perception(ESP)🐱‍💻

A light-weight graphics experiment framework for educational usage.

Options and Option Strategies analytics for educational purpose using the Black-Scholes Model

A holistic way of understanding how LLaMA and its components run in practice, with code and detailed documentation.

This is a very simple HTTP server for Unix, using fork(). It's very easy to use.

An educational app to help you learn about spices, built on top of react-native, react-native-navigation from wix and lottie-react-native for animations.

An attempt to create the worst C program ever by repeatedly abusing obscure features. See c.c for the core code. Note that there were no version restraints imposed and extensions are also included.

Open-Source Ransomware Project for learning purpose only written in C# (csharp). Dont use it for bad things.

This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist on Neural Networks - which we will end up with building GPT.