smazzanti / mrmrLinks
mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
☆602Updated 8 months ago
Alternatives and similar repositories for mrmr
Users that are interested in mrmr are comparing it to the libraries listed below
Sorting:
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆625Updated last year
- Multiple Imputation with LightGBM in Python☆384Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆578Updated 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…☆660Updated 5 months ago
- A power-full Shapley feature selection method.☆210Updated last year
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,443Updated this week
- All Relevant Feature Selection☆139Updated 3 months ago
- Flexible time series feature extraction & processing☆425Updated 10 months ago
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- Experiments on Tabular Data Models☆278Updated 2 years ago
- Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks☆165Updated last year
- Synthetic Minority Over-Sampling Technique for Regression☆344Updated last year
- An extension of XGBoost to probabilistic modelling☆636Updated 3 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 4 months ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆341Updated 9 months ago
- Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…☆244Updated last week
- ML models + benchmark for tabular data classification and regression☆224Updated this week
- Genetic feature selection module for scikit-learn☆322Updated last year
- XGBoost + Optuna☆715Updated 10 months ago
- Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…☆344Updated last year
- TimeSHAP explains Recurrent Neural Network predictions.☆180Updated last year
- For calculating global feature importance using Shapley values.☆272Updated this week
- An extension of LightGBM to probabilistic modelling☆320Updated last year
- Shapley Interactions and Shapley Values for Machine Learning☆588Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,485Updated last month
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆467Updated last year
- Python package for conformal prediction☆513Updated last month
- A standard framework for modelling Deep Learning Models for tabular data☆1,553Updated last week
- A framework for prototyping and benchmarking imputation methods☆190Updated 2 years ago
- Python package for missing-data imputation with deep learning☆155Updated 11 months ago