few
Feature selector
Automates feature engineering by using genetic programming to select the most useful features for machine learning models.
a feature engineering wrapper for sklearn
51 stars
9 watching
22 forks
Language: Python
last commit: over 6 years agoLinked from 1 awesome list
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 manuel-calzolari/sklearn-genetic | A genetic feature selection tool for machine learning models | 323 |
 rodrigo-arenas/sklearn-genetic-opt | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 316 |
 feature-engine/feature_engine | A Python library with multiple transformers to engineer and select features for use in machine learning models. | 1,956 |
 joeddav/devol | An evolutionary algorithm for designing neural networks in Keras | 951 |
 kstaats/karoo_gp | An evolutionary algorithm for automatic design and optimization of mathematical models | 161 |
 epistasislab/scikit-rebate | An implementation of Relief-based feature selection algorithms for Machine Learning. | 413 |
 chasedehan/boostaroota | An algorithm for fast feature selection using XGBoost and other tree-based classifiers | 219 |
 jaswinder9051998/zoofs | A Python library that performs feature selection using various nature-inspired optimization algorithms. | 245 |
 craigacp/feast | A software toolbox for feature selection algorithms | 71 |
 rsteca/sklearn-deap | Replaces grid search with evolutionary algorithms to find optimal parameters for machine learning models | 771 |
 scikit-learn-contrib/boruta_py | An implementation of a feature selection method to identify all relevant features for prediction | 1,529 |
 jundongl/scikit-feature | A collection of algorithms and tools for selecting the most informative features from datasets in machine learning applications. | 1,513 |
 atisharma/matlib | A Clojure library of optimisation and control theory tools and convenience functions | 25 |
 llava-vl/llava-interactive-demo | An all-in-one demo for interactive image processing and generation | 353 |
 jvalegre/robert | Automated machine learning protocols for cheminformatics using Python | 39 |