Alternatives and similar repositories for uplift

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

• ianchute / shapley-attribution-model-zhao-naive
  A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
  ☆39Updated 5 years ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆75Updated last year
• wayfair / pylift
  Uplift modeling package.
  ☆373Updated 2 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆69Updated last month
• duketemon / pyuplift
  Lightweight uplift modeling framework for Python
  ☆28Updated 5 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 2 years ago
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆61Updated 6 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆140Updated last year
• 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
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• google / lifetime_value
  ☆349Updated 10 months ago
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆52Updated 7 years ago
• jfpuget / LibFM_in_Keras
  This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.
  ☆189Updated 7 years ago
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated last year
• 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…
  ☆32Updated 3 years ago
• sllynn / spark-xgboost
  A Python wrapper for XGBoost4J-Spark classes.
  ☆47Updated last year
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• Densur / PyWoE
  ☆60Updated 6 years ago
• jfloff / pywFM
  pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM
  ☆252Updated 6 years ago
• zhouyonglong / Multi-Channel-Attribution
  Multi Channel Attribution
  ☆10Updated 8 years ago
• Willofd101 / ziln_cltv
  A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
  ☆27Updated last year
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 6 years ago
• bigdong89 / xgboostExtension
  xgboost Extension for Easy Ranking & TreeFeature
  ☆125Updated 5 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• alexeygrigorev / outbrain-click-prediction-kaggle
  Solution to the Outbrain Click Prediction competition
  ☆148Updated 8 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆153Updated 6 years ago
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆177Updated 5 months ago
• KirillTushin / target_encoding
  This package gives you the opportunity to use a Target mean Encoding.
  ☆15Updated 3 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago