Alternatives and similar repositories for miceforest:

Users that are interested in miceforest 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.
  ☆606Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆203Updated 9 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆291Updated 8 months ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆583Updated 7 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆126Updated 2 weeks ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆222Updated 3 weeks ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆245Updated 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…
  ☆603Updated this week
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆388Updated 9 months ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
  ☆1,337Updated this week
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆533Updated last year
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆572Updated 8 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆327Updated 4 months ago
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆589Updated this week
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆193Updated last year
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆557Updated 3 months ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆240Updated 11 months ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆507Updated 4 months ago
• yuenshingyan / MissForest
  Arguably the best missing values imputation method.
  ☆62Updated last month
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆264Updated last week
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆166Updated last year
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆144Updated 5 months ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆409Updated 5 months ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆163Updated last year
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆332Updated 10 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆105Updated this week
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆175Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆145Updated last year
• ing-bank / probatus
  Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
  ☆134Updated last week