:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js

An open-source macOS game launcher with the ability to play Windows games through a custom implementation of Apple's Game Porting Toolkit, with support for multiple storefronts.

🎯 A Crosshair Overlay for any screen.

Metal-based implementation of D3D11 and D3D10 for macOS / Wine

A docker for run CrossOver though VNC remote manage

a command-line game launcher for the Game Porting Toolkit

A harbor for all your game *porting* activities (get it?)

splitter plugin

BeamNG.drive Black Terrain fix for Linux and Mac

A Binance Bot that Trades Macd Crossovers

:scissors: Solving 2D cutting stock problems with genetic algorithms (AI)

Material of the Computational Intelligence course which originated in University of Guilan. This is the repository of codes written in class.

Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life. The algorithm is designed to replicate the natural selection process to carry generation, i.e. survival of the fittest of beings.

A WIP Game List working on mac (and tested) with Crossover, Parallels or Rosetta 2

Crossover Task - Auction marketplace comprising an end-to-end classified platform with the option to bid on products in realtime. ⚖️

Extend your Crossover trial.

OCI Container for Wine using buildah and podman

Implementation of NSGA-II in Python

A tool to measure and design loudspeakers

Genetics (Initialization, Selection, Crossover, Mutation)

In this project we implement a DNA-Genetic Encryption Technique (D-GET) in order to make the DNA SEQUENCE more secure and less predictable.

GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration

Implementation of a simple genetic algorithm designed to solve the Traveling Salesman Problem, using ncurses to visualize the graph.

Small HiFi audio system for good sound in small rooms

See more details in my Medium post:

Implementation of Generalized Partition Crossover for the Problem of Traveling Salesman Problem.

This program implements a genetic algorithm for curve fitting using a polynomial equation. The goal is to find the best coefficients for the polynomial equation that minimize the distance between the curve and a given set of data points. The genetic algorithm is used to search for the optimal solution by evolving a population of candidate solutions

This repository contains a C++ program that solves the Knapsack Problem using a Genetic Algorithm. The Knapsack Problem is a classic optimization problem where we aim to maximize the total value of items to be packed in a knapsack, given the knapsack's weight capacity and a set of items with their respective weights and values.

Simple Audio Sweeper. A handy tool for DIY audio enthusiasts. It generates any desired audio frequency and analyzes your audio system’s frequency response.

Implementation of a theory to use Generalized Partition Crossover with Vehicle Routing Problem.