Alternatives and similar repositories for scikit-uplift

Users that are interested in scikit-uplift are comparing it to the libraries listed below

• wayfair / pylift
  Uplift modeling package.
  ☆376Updated 3 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆328Updated 2 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆500Updated 3 weeks ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆78Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆657Updated 10 months ago
• google / lifetime_value
  ☆365Updated last year
• marnikitta / stattests
  Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests
  ☆209Updated 3 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• statisticianinstilettos / recmetrics
  A library of metrics for evaluating recommender systems
  ☆581Updated last year
• MobileTeleSystems / Ambrosia
  Ambrosia is a Python library for A/B tests design, split and result measurement
  ☆236Updated 2 years ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆341Updated last year
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• sberbank-ai-lab / LightAutoML
  LAMA - automatic model creation framework
  ☆925Updated 3 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated 2 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆650Updated last year
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆175Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆546Updated 2 years ago
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆256Updated 6 years ago
• otto-de / recsys-dataset
  🛍 A real-world e-commerce dataset for session-based recommender systems research.
  ☆357Updated 6 months ago
• sberbank-ai-lab / RePlay
  RecSys Library
  ☆69Updated 3 years ago
• sb-ai-lab / Py-Boost
  Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training
  ☆195Updated 5 months ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆143Updated 2 years ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆638Updated last year
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆529Updated 8 months ago
• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆646Updated 2 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆852Updated 9 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆580Updated last year
• Matt52 / bayesian-testing
  Bayesian A/B testing
  ☆80Updated 3 weeks ago
• evfro / polara
  Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy …
  ☆254Updated 2 months ago