visualisa VS zoofs

Compare visualisa vs zoofs and see what are their differences.

visualisa

A machine learning algorithm to recreate your images. (by TheRealVira)
Machine Learning machine-learning-algorithms genetic-algorithm Python
Source Code
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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)
Machine Learning Python evolutionary-algorithms genetic-algorithm feature-selection particle-swarm-optimization particle-swarm grey-wolf-optimizer grey-wolf supervised-learning machine-learning-algorithms Machinelearning Optimization optimization-algorithms optimization-methods optimization-tools subset-selection
Source Code
jaswinder9051998.github.io
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visualisa zoofs
1 4
0 236
- -
2.6 0.0
over 2 years ago 5 months ago
Python Python
MIT License Apache License 2.0
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.

visualisa

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

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.

What are some alternatives?

When comparing visualisa and zoofs you can also consider the following projects:

scikit-learn-intelex - Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

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)

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

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

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

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

TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD

Parameterize.Net - Parameterize.Net is a library that allows developers to represent complex objects using float array.

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

deeplearning

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.

visualisa vs scikit-learn-intelex zoofs vs scikit-opt visualisa vs m2cgen zoofs vs biteopt visualisa vs GeneticAlgorithmPython zoofs vs Sklearn-genetic-opt visualisa vs TorchGA zoofs vs Parameterize.Net zoofs vs GARI zoofs vs deeplearning zoofs vs NitroFE zoofs vs TorchGA