Alternatives and similar repositories for optbinning

Users that are interested in optbinning 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.
  ☆638Updated 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…
  ☆674Updated 9 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆581Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆651Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆155Updated 7 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆345Updated this week
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆670Updated 2 weeks ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆532Updated 8 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated 2 years ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆546Updated 2 years ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆104Updated 9 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆328Updated 2 years ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• shakedzy / dython
  A set of data tools in Python
  ☆507Updated 2 weeks ago
• maks-sh / scikit-uplift
  uplift modeling in scikit-learn style in python
  ☆787Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated last week
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆659Updated 10 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆833Updated 2 weeks ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,169Updated 3 weeks ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated last month
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆853Updated 9 months ago
• 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…
  ☆764Updated last year
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,372Updated 3 weeks ago
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆407Updated 3 weeks ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆396Updated last month
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 8 months ago