genetic-algorithm-in-python VS ruck

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

genetic-algorithm-in-python

A genetic algorithm written in Python for educational purposes. (by DomenicoDeFelice)

ruck

🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning (by nmichlo)
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genetic-algorithm-in-python ruck
5 2
23 52
- -
0.0 1.2
about 3 years ago about 1 year 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.

ruck

Posts with mentions or reviews of ruck. 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 ruck you can also consider the following projects:

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

raylibpyctbg - A Python ctypes binding generator for the awesome C library Raylib.

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

numpy-groupies - Optimised tools for group-indexing operations: aggregated sum and more

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

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

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.

dataiter - Python classes for data manipulation

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

jMetalPy - A framework for single/multi-objective optimization with metaheuristics