Alternatives and similar repositories for autofeat

Users that are interested in autofeat 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.
  ☆643Updated 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…
  ☆677Updated 11 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆583Updated last year
• AutoViML / Auto_TS
  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…
  ☆763Updated last year
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆511Updated last month
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆844Updated 3 weeks ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆213Updated 4 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆659Updated 2 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆153Updated 9 months ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆325Updated 2 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆496Updated 2 weeks ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 10 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,618Updated 2 months ago
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆520Updated 3 years ago
• firmai / deltapy
  DeltaPy - Tabular Data Augmentation (by @firmai)
  ☆556Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆358Updated last month
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆440Updated 2 years ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆553Updated 2 years ago
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated 2 years ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆689Updated last month
• AutoViML / Auto_ViML
  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…
  ☆546Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆460Updated 2 months ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆863Updated last year
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆245Updated 2 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆856Updated 11 months ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆435Updated last year
• dmbee / seglearn
  Python module for machine learning time series:
  ☆580Updated 3 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆599Updated last year