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.
  ☆641Updated 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 10 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆584Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆656Updated last year
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆328Updated 2 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆357Updated last month
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 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
  ☆106Updated 11 months ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆153Updated 8 months ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆550Updated 2 years ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆535Updated this week
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆681Updated last month
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆435Updated 2 years ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 3 months ago
• shakedzy / dython
  A set of data tools in Python
  ☆510Updated 3 weeks ago
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆841Updated this week
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated 3 weeks ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆352Updated 2 years ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated 2 years 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
• maks-sh / scikit-uplift
  uplift modeling in scikit-learn style in python
  ☆795Updated 2 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆496Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆403Updated 2 months ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆143Updated 2 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 9 months ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆318Updated 2 years ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,374Updated last month