few
by lacava
a feature engineering wrapper for sklearn
AI summary
Feature selector
Automates feature engineering by using genetic programming to select the most useful features for machine learning models.
- stars
- 51
- forks
- 22
- watching
- 9
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Feature selector
A genetic feature selection tool for machine learning models
Hyperparameter tuner
Automated hyperparameter tuning and feature selection using evolutionary algorithms.
Feature transformer
A Python library with multiple transformers to engineer and select features for use in machine learning models.
Network designer
An evolutionary algorithm for designing neural networks in Keras
Genetic programming platform
An evolutionary algorithm for automatic design and optimization of mathematical models
Feature selector
An implementation of Relief-based feature selection algorithms for Machine Learning.
Feature selector
An algorithm for fast feature selection using XGBoost and other tree-based classifiers
Feature selector library
A Python library that performs feature selection using various nature-inspired optimization algorithms.
Feature selector
A software toolbox for feature selection algorithms
Optimization framework
Replaces grid search with evolutionary algorithms to find optimal parameters for machine learning models
Feature selector
An implementation of a feature selection method to identify all relevant features for prediction
Feature selector
A collection of algorithms and tools for selecting the most informative features from datasets in machine learning applications.
Optimisation library
A Clojure library of optimisation and control theory tools and convenience functions
Image processor
An all-in-one demo for interactive image processing and generation
Cheminformatics toolkit
Automated machine learning protocols for cheminformatics using Python
Featured in 1 awesome list
Each link jumps to the spot where the list mentions few.
