genetic-algorithm-in-python VS Finch

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

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genetic-algorithm-in-python Finch
5 1
23 32
- -
0.0 8.4
about 3 years ago 2 months ago
Python Python
GNU General Public License v3.0 or later MIT License
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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.

Finch

Posts with mentions or reviews of Finch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

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

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

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.

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

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

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

genetic-algorithm-learning - A simple genetic algorithm written in Python. The aim is to reconstruct a particular given string

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta

pyneat - NEAT: NeuroEvolution of Augmenting Topologies