Alternatives and similar repositories for upliftml

Users that are interested in upliftml are comparing it to the libraries listed below

• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆352Updated 2 years ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆78Updated 2 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆376Updated 3 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆662Updated last year
• eeghor / mta
  Multi-Touch Attribution
  ☆124Updated 2 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆236Updated last year
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆511Updated last month
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆174Updated last year
• google / lifetime_value
  ☆371Updated last year
• maks-sh / scikit-uplift
  uplift modeling in scikit-learn style in python
  ☆793Updated 2 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 5 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆118Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆319Updated 2 years ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• psarka / uplift
  ☆34Updated 7 years ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆553Updated 2 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆80Updated 2 years ago
• loft-br / xgboost-survival-embeddings
  Improving XGBoost survival analysis with embeddings and debiased estimators
  ☆342Updated last year
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆440Updated 2 years ago
• spotify / confidence
  ☆282Updated 3 weeks ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆64Updated 4 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆72Updated 9 months ago
• duketemon / pyuplift
  Lightweight uplift modeling framework for Python
  ☆28Updated 6 years ago
• GoogleCloudPlatform / tensorflow-lifetime-value
  Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
  ☆171Updated 3 weeks ago
• jeremite / channel-attribution-model
  An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…
  ☆34Updated 4 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆659Updated 2 years ago