zoofs
biteopt
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| zoofs | biteopt | |
|---|---|---|
| 4 | 2 | |
| 236 | 127 | |
| - | - | |
| 0.0 | 6.0 | |
| 5 months ago | about 2 months ago | |
| Python | C++ | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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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
biteopt
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)
SpeciaLUT - Runtime choosing of template specializations using compile-time lookup-tables. Compile all states of a template function, but execute the optimal one at runtime.
Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.
OrangeC - OrangeC Compiler And Tool Chain
GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
LazyMath - Complex Conjugate Gradient linear solver and Levenberg-Marquardt minimizer with and without constraints in C++
Parameterize.Net - Parameterize.Net is a library that allows developers to represent complex objects using float array.
palanteer - Visual Python and C++ nanosecond profiler, logger, tests enabler
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.
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
deeplearning
shenanigans - Semi-random funky stuff, mainly for my PhD experiments and articles. Contains calculations and algorithm implementations for various applied mathematics and astrophysics articles I worked on.