pyswarms
zoofs
pyswarms | zoofs | |
---|---|---|
1 | 4 | |
1,233 | 236 | |
- | - | |
1.3 | 0.0 | |
2 months ago | 5 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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pyswarms
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Pyswams Library
Hello I'm trying to use this library: pyswarms and it works fine with the base code that they give
zoofs
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[D] Feature engineering automation?
and as u described considering you will end up with a lot of features. https://github.com/jaswinder9051998/zoofs for feature selection. Zoofs is a wrapper based feature selection, so you'll be able select feature-based purely on performance if u have a healthy test set or if u perform cross-validation
- [P] Feature Selection for tabular data (Zoofs, python package)
- Zoofs, a feature selection Library
- Zoofs , nature inspired wrapper algorithms
What are some alternatives?
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)
vizier - Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
biteopt - Derivative-Free Global Optimization Method (C++, Python binding)
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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.
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD