Repository Index

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

• machine-learning
• deep-learning
• deep-reinforcement-learning
• machine-learning-from-scratch

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

• optimization
• multi-objective-optimization
• nsga2
• nsga3

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

• python
• genetic-algorithm
• optimization
• numpy

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

• genetic-algorithms
• artificial-intelligence
• c-sharp
• dotnet

🎯 A comprehensive gradient-free optimization framework written in Python

• metaheuristics
• optimization
• optimization-algorithms
• python

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

• machine-learning
• python
• evolutionary-algorithms
• genetic-algorithm

Simple Genetic Algorithm for demonstration purposes

• genetic-algorithm
• evolutionary-algorithms
• evolutionary-algorithm
• evolutionary-computation

Genetic Algorithm Implementation for Ada

• generic
• algorithm
• ada
• library