PyGAD is an open-source easy-to-use Python 3 library for building the genetic algorithm and optimizing machine learning algorithms. It supports Keras and PyTorch. PyGAD supports optimizing both single-objective and multi-objective problems. PyGAD supports different types of crossover, mutation, and parent selection. PyGAD allows different types of problems to be optimized using the genetic algorithm by customizing the fitness function.

Features

  • The library is under active development and more features are added regularly
  • Documentation available
  • To install PyGAD, simply use pip to download and install the library from PyPI
  • PyGAD Source Code
  • Examples available
  • Implement Genetic Algorithm in Python
  • Build Neural Networks in Python

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

BSD License

Follow PyGAD

PyGAD Web Site

You Might Also Like
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of PyGAD!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-14