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.
  ☆618Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆420Updated last year
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆639Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 2 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆150Updated 2 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆577Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 2 years ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆539Updated last year
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆337Updated 8 months ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆521Updated 2 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆248Updated 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…
  ☆651Updated 4 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆208Updated last year
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆624Updated last month
• maks-sh / scikit-uplift
  uplift modeling in scikit-learn style in python
  ☆773Updated last year
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆382Updated 10 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆373Updated 11 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆316Updated last year
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆856Updated 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…
  ☆759Updated 10 months ago
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆100Updated 4 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆135Updated 2 months ago
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆117Updated 2 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆325Updated last year
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆164Updated 4 months ago
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated 2 months ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆140Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆640Updated 5 months ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆167Updated 2 years ago