Alternatives and similar repositories for smogn

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

• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆170Updated 2 years ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆579Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆635Updated last year
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆323Updated last year
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆614Updated 11 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆391Updated this week
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆385Updated last year
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆247Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆492Updated last year
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆361Updated 3 years ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆430Updated 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
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,478Updated this week
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆545Updated 2 years ago
• arundo / tsaug
  A Python package for time series augmentation
  ☆361Updated 2 years ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated last year
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆525Updated 7 months ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆189Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 3 weeks ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆69Updated 2 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 6 months ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆844Updated 8 months ago
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆768Updated last year
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆659Updated 2 months ago
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,054Updated 2 months ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆620Updated 7 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated 2 years ago
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆198Updated 3 weeks ago