Alternatives and similar repositories for smogn

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

• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆384Updated last year
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆578Updated last year
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆244Updated last year
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆602Updated 8 months ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆322Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆625Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆168Updated 2 years ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆427Updated 11 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated last year
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆467Updated last year
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆380Updated last year
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆180Updated last year
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆1,031Updated 2 weeks ago
• arundo / tsaug
  A Python package for time series augmentation
  ☆361Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated last year
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆490Updated last year
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆522Updated 4 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆362Updated 3 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆325Updated this week
• paobranco / ImbalancedLearningRegression
  Imbalanced Learning Regression
  ☆43Updated 3 months ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆155Updated 11 months ago
• angus924 / rocket
  ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
  ☆445Updated 3 years ago
• analyticalmindsltd / smote_variants
  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…
  ☆668Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆541Updated 2 years ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,449Updated last week
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆370Updated 2 years ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆139Updated 4 months ago
• shobrook / sequitur
  Library of autoencoders for sequential data
  ☆446Updated last year