open-source feature selection repository in python
☆1,569Jul 11, 2024Updated last year
Alternatives and similar repositories for scikit-feature
Users that are interested in scikit-feature are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆421Feb 10, 2023Updated 3 years ago
- Features selector based on the self selected-algorithm, loss function and validation method☆679May 8, 2019Updated 6 years ago
- Feature Selection using Genetic Algorithm (DEAP Framework)☆377Feb 21, 2023Updated 3 years ago
- Parallelized Mutual Information based Feature Selection module.☆285Sep 30, 2021Updated 4 years ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,622Nov 13, 2025Updated 4 months ago
- ☆33Feb 16, 2025Updated last year
- A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.☆1,640Sep 24, 2022Updated 3 years ago
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,433Aug 20, 2024Updated last year
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,124Jan 24, 2026Updated 2 months ago
- Genetic feature selection module for scikit-learn☆325Jan 20, 2024Updated 2 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,092Feb 2, 2026Updated last month
- Hyper-parameter optimization for sklearn☆1,646Apr 15, 2025Updated 11 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,047Sep 11, 2025Updated 6 months ago
- Feature selection library in python☆146Aug 3, 2025Updated 7 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,816Feb 23, 2024Updated 2 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆126Jun 10, 2025Updated 9 months ago
- Automated Machine Learning with scikit-learn☆8,072Jan 20, 2026Updated 2 months ago
- An open source python library for automated feature engineering☆7,623Feb 3, 2026Updated last month
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Feb 10, 2026Updated last month
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆489Aug 11, 2017Updated 8 years ago
- A library of sklearn compatible categorical variable encoders☆2,488Mar 1, 2026Updated 3 weeks ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- ML-Ensemble – high performance ensemble learning☆863Nov 13, 2023Updated 2 years ago
- Automatic extraction of relevant features from time series:☆9,151Nov 15, 2025Updated 4 months ago
- Feature selector is a tool for dimensionality reduction of machine learning datasets☆2,237Jun 17, 2024Updated last year
- Python3 binding to mRMR Feature Selection algorithm (currently not maintained)☆141Dec 8, 2024Updated last year
- ☆190Jul 6, 2023Updated 2 years ago
- Open source time series library for Python☆2,141Oct 24, 2023Updated 2 years ago
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,267Jun 6, 2018Updated 7 years ago
- A Python library for dynamic classifier and ensemble selection☆498Jan 20, 2026Updated 2 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆650Feb 19, 2024Updated 2 years ago
- Feature Selection for Clustering☆97Apr 20, 2018Updated 7 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆773Feb 10, 2024Updated 2 years ago
- scikit-learn compatible implementation of stability selection.☆214Jun 5, 2023Updated 2 years ago
- Pandas integration with sklearn☆2,852Jun 8, 2023Updated 2 years ago
- An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).☆83Apr 1, 2022Updated 3 years ago
- Implementations of various feature selection methods☆24Nov 30, 2020Updated 5 years ago
- XGBoost Feature Interactions & Importance☆501Nov 5, 2017Updated 8 years ago
- MICO: Mutual Information and Conic Optimization for feature selection☆17Nov 7, 2022Updated 3 years ago