Collection of Machine Learning Algorithms

The repository with source code which can be used to compare performance of different implementations of the NEAT algorithm

XOR Obfuscator for strings

ML algorithms and applications from famous papers; simple theory; solid code.

🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.

XOR problem solved using neural network.

A simple 3-layer perceptrons for solving the XOR problem

Educational game about training a ML model to learn XOR efficiently

This repository contains a C-based cryptanalysis tool designed to break XOR ciphers where the encryption key has been catastrophically reused across multiple messages. This vulnerability is commonly known as a Many-Time Pad attack.

A lightweight neural network in C that learns logic gates (AND, OR, XOR, etc.) using backpropagation. Pure C implementation with no dependencies - perfect for understanding ML fundamentals!

First assignment in ׳Deep Learning for Texts and Sequences' course (using NumPy only) by Prof. Yoav Goldberg at Bar-Ilan University

6 first ML/AI subprojects

Deep learning algorithms and applications from famous papers; simple theory; solid code.

A neural learning network built from pure mathematical theory

Python Link Shortner Script using XOR Cipher

Tree-based classification (Logistic / Decision Tree / Random Forest / Gradient Boosting) on synthetic XOR-shape data. Part 2 of an ML portfolio.

Neural networks that I really need to explore

A fully hand-coded neural network in standart C++

From-scratch perceptron algorithm implementation in Python. Trains on AND/OR/XOR gates to demonstrate linear separability concepts and the classic XOR problem.