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.
  ☆634Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆153Updated 5 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆645Updated 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…
  ☆667Updated 7 months ago
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆103Updated 7 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆579Updated last year
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆525Updated 6 months ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆647Updated last month
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• maks-sh / scikit-uplift
  uplift modeling in scikit-learn style in python
  ☆780Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆542Updated 2 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated last year
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆333Updated last month
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆166Updated last week
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆829Updated 2 weeks ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆383Updated last year
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆838Updated 7 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆141Updated 6 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,132Updated 3 weeks ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last week
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆390Updated 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
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 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…
  ☆760Updated last year
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,360Updated 2 weeks ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆492Updated last year