GeneticAlgorithmPython VS genetic-algorithm-in-python

Compare GeneticAlgorithmPython vs genetic-algorithm-in-python and see what are their differences.

GeneticAlgorithmPython

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

genetic-algorithm-in-python

A genetic algorithm written in Python for educational purposes. (by DomenicoDeFelice)
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GeneticAlgorithmPython genetic-algorithm-in-python
17 5
1,717 22
- -
8.6 0.0
19 days ago almost 3 years ago
Python Python
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

GeneticAlgorithmPython

Posts with mentions or reviews of GeneticAlgorithmPython. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-09.

genetic-algorithm-in-python

Posts with mentions or reviews of genetic-algorithm-in-python. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing GeneticAlgorithmPython and genetic-algorithm-in-python you can also consider the following projects:

PySR - High-Performance Symbolic Regression in Python and Julia

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

pyneat - NEAT: NeuroEvolution of Augmenting Topologies

GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"

EasyGA - EasyGA is a python package designed to provide an easy-to-use Genetic Algorithm. The package is designed to work right out of the box, while also allowing the user to customize features as they see fit.

FlappyBirdPyGAD - Play the Flappy Bird Game using PyGAD (Genetic Algorithm)

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

pycox - Survival analysis with PyTorch

ruck - 🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

8QueensGenetic - Optimizing the 8 Queens Puzzle using the Genetic Algorithm (PyGAD).

Finch - 🐤The next evolution of, well, evolution.