zoofs VS Parameterize.Net

Compare zoofs vs Parameterize.Net and see what are their differences.

zoofs

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. (by jaswinder9051998)

Parameterize.Net

Parameterize.Net is a library that allows developers to represent complex objects using float array. (by ArdentStack)
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zoofs Parameterize.Net
4 2
236 26
- -
0.0 0.0
5 months ago over 1 year ago
Python C#
Apache License 2.0 MIT License
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.

zoofs

Posts with mentions or reviews of zoofs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-27.

Parameterize.Net

Posts with mentions or reviews of Parameterize.Net. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-10.

What are some alternatives?

When comparing zoofs and Parameterize.Net you can also consider the following projects:

scikit-opt - Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Edgar-Unity - Unity Procedural Level Generator

biteopt - Derivative-Free Global Optimization Method (C++, Python binding)

WaveFunctionCollapse - Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

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

Parametrize.Net - Parameterize.Net is a library that allows developers to represent complex objects using float array. [Moved to: https://github.com/PasoUnleashed/Parameterize.Net]

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

ProceduralToolkit - Procedural generation library for Unity

NitroFE - NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

hego - Metaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...

deeplearning

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD