A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
☆421Sep 12, 2026Updated last month
Alternatives and similar repositories for scikit-rebate
Users that are interested in scikit-rebate 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 sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆128Jun 10, 2025Updated last year
- open-source feature selection repository in python☆1,588Jul 11, 2024Updated 2 years ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,632Nov 13, 2025Updated 11 months ago
- scikit-learn compatible implementation of stability selection.☆215Jun 5, 2023Updated 3 years ago
- Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…☆32May 22, 2018Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆657Feb 19, 2024Updated 2 years ago
- Genetic feature selection module for scikit-learn☆327Jan 20, 2024Updated 2 years ago
- Confidence intervals for scikit-learn forest algorithms☆290Oct 4, 2026Updated 3 weeks ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Aug 7, 2020Updated 6 years ago
- A Python library for dynamic classifier and ensemble selection☆507Jan 20, 2026Updated 9 months ago
- Parallelized Mutual Information based Feature Selection module.☆286Sep 30, 2021Updated 5 years ago
- ML-Ensemble – high performance ensemble learning☆866Nov 13, 2023Updated 2 years ago
- machine learning with logical rules in Python☆663Jan 31, 2024Updated 2 years ago
- a feature engineering wrapper for sklearn☆54Jun 11, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A fast xgboost feature selection algorithm☆231Jun 30, 2026Updated 4 months ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆772Feb 10, 2024Updated 2 years ago
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,280Oct 25, 2023Updated 3 years ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,056Sep 11, 2025Updated last year
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,190Oct 23, 2026Updated last week
- A library of sklearn compatible categorical variable encoders☆2,511Updated this week
- Feature Selection using Genetic Algorithm (DEAP Framework)☆377Feb 21, 2023Updated 3 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆491Aug 11, 2017Updated 9 years ago
- An open source python library for automated feature engineering☆7,693Sep 11, 2026Updated last month
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Hyper-parameter optimization for sklearn☆1,647Apr 15, 2025Updated last year
- Feature selection library in python☆148Jul 21, 2026Updated 3 months ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,135Jun 29, 2026Updated 4 months ago
- Features selector based on the self selected-algorithm, loss function and validation method☆675May 8, 2019Updated 7 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆521Sep 22, 2021Updated 5 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,293Sep 19, 2026Updated last month
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆198Mar 29, 2026Updated 7 months ago
- Python implementation of the rulefit algorithm☆444Oct 8, 2023Updated 3 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆546Jan 6, 2026Updated 9 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,855Apr 8, 2026Updated 6 months ago
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,264Jun 6, 2018Updated 8 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,830Feb 23, 2024Updated 2 years ago
- Python package for stacking (machine learning technique)☆697Nov 1, 2025Updated 11 months ago
- A garden for scikit-learn compatible trees☆288Jun 20, 2024Updated 2 years ago
- Open source time series library for Python☆2,138Oct 24, 2023Updated 3 years ago
- Python package for Imputation Methods☆252Dec 30, 2023Updated 2 years ago