Alternatives and similar repositories for mrmr

Users that are interested in mrmr are comparing it to the libraries listed below

• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆635Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆391Updated this week
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆580Updated last year
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆671Updated 8 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 2 weeks ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆430Updated last year
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,475Updated last week
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆141Updated 6 months ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆657Updated 2 months ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆525Updated 7 months ago
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆169Updated last year
• nickkunz / smogn
  Synthetic Minority Over-Sampling Technique for Regression
  ☆346Updated last year
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆279Updated 2 years ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆284Updated 2 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆339Updated 2 months ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆323Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆544Updated 2 years ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆153Updated 6 months ago
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆537Updated 2 weeks ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆384Updated last year
• scikit-learn-contrib / qolmat
  A scikit-learn-compatible module for comparing imputation methods.
  ☆141Updated last month
• LeoGrin / tabular-benchmark
  ☆492Updated last year
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆434Updated last year
• mmschlk / shapiq
  Shapley Interactions and Shapley Values for Machine Learning
  ☆619Updated this week
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆277Updated last week
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆844Updated 8 months ago
• manujosephv / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,585Updated last week
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆189Updated last year
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated last year