A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
☆652Feb 19, 2024Updated 2 years ago
Alternatives and similar repositories for Boruta-Shap
Users that are interested in Boruta-Shap are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python implementations of the Boruta all-relevant feature selection method.☆1,622Nov 13, 2025Updated 5 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆584Jun 8, 2024Updated last year
- All Relevant Feature Selection☆143Apr 3, 2025Updated last year
- Leave One Feature Out Importance☆865Feb 14, 2025Updated last year
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆678Feb 19, 2025Updated last year
- 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.
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆535Jan 6, 2026Updated 3 months ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆422Feb 10, 2023Updated 3 years ago
- A power-full Shapley feature selection method.☆215Oct 7, 2025Updated 6 months ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,226Mar 28, 2026Updated 3 weeks ago
- Feature selection library in python☆146Aug 3, 2025Updated 8 months ago
- Genetic feature selection module for scikit-learn☆325Jan 20, 2024Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,534Updated this week
- Feature Selection using Genetic Algorithm (DEAP Framework)☆377Feb 21, 2023Updated 3 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,863Mar 24, 2026Updated 3 weeks ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆623Nov 19, 2024Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,578Apr 10, 2026Updated last week
- Extra blocks for scikit-learn pipelines.☆1,388Apr 2, 2026Updated 2 weeks ago
- An extension of LightGBM to probabilistic modelling☆377Mar 18, 2026Updated last month
- Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…☆766Aug 20, 2024Updated last year
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆152Apr 19, 2025Updated last year
- An extension of XGBoost to probabilistic modelling☆701Dec 11, 2025Updated 4 months ago
- Tree-Boosting, Gaussian Processes, and Mixed-Effects Models☆670Apr 8, 2026Updated last week
- Forecasting with Gradient Boosted Time Series Decomposition☆199Jan 11, 2026Updated 3 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- moDel Agnostic Language for Exploration and eXplanation☆1,463Jan 20, 2026Updated 2 months ago
- A library of sklearn compatible categorical variable encoders☆2,488Mar 1, 2026Updated last month
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,181Apr 2, 2026Updated 2 weeks ago
- machine learning with logical rules in Python☆658Jan 31, 2024Updated 2 years ago
- An intuitive library to extract features from time series.☆1,085Jan 30, 2026Updated 2 months ago
- Hierarchical Time Series Forecasting with a familiar API☆227May 12, 2023Updated 2 years ago
- Probabilistic prediction with XGBoost.☆122Mar 22, 2025Updated last year
- A fast xgboost feature selection algorithm☆234Apr 1, 2021Updated 5 years ago
- Predictive Power Score (PPS) in Python☆1,169Mar 11, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Quantile Regression Forests compatible with scikit-learn.☆253Apr 6, 2026Updated last week
- A python library to build Model Trees with Linear Models at the leaves.☆388Jul 19, 2024Updated last year
- Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA☆1,454Updated this week
- For calculating global feature importance using Shapley values.☆287Updated this week
- A game theoretic approach to explain the output of any machine learning model.☆25,286Updated this week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,507Jul 13, 2025Updated 9 months ago
- Multiple Imputation with LightGBM in Python☆405Oct 27, 2025Updated 5 months ago