Alternatives and similar repositories for Uplift

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

• criteo / CriteoDisplayCTR-TFOnSpark
  ☆27Updated 3 years ago
• sparsh-ai / reco-bandit
  Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning
  ☆11Updated 4 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 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
• antklen / kaggle_favorita-grocery-sales
  12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting
  ☆15Updated 7 years ago
• maciejkula / mixture
  ☆27Updated 7 years ago
• Leavingseason / RecsysChallenge2017
  Our solution for Recsys Challenge 2017.
  ☆20Updated 7 years ago
• ncu-dart / behavior2vec
  ☆20Updated 6 years ago
• irecsys / Tutorial_MSRS
  Tutorial for Multi-Stakeholder Recommender Systems
  ☆22Updated 3 years ago
• psarka / uplift
  ☆34Updated 6 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• umeshksingla / news-recommend-ire
  Stream Data based News Recommendation - Contextual Bandit Approach
  ☆48Updated 7 years ago
• stathwang / FPMC
  Factoried Personalized Markov Chains for Next Basket Recommendation in R and Python
  ☆12Updated 7 years ago
• rk2900 / bidding-machine
  An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"
  ☆59Updated 7 years ago
• duketemon / pyuplift
  Lightweight uplift modeling framework for Python
  ☆28Updated 5 years ago
• fajieyuan / CIKM2016-LambdaFM
  LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates
  ☆18Updated 5 years ago
• fehiepsi / web-traffic-time-series-forecasting
  kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting
  ☆16Updated 7 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆69Updated 2 months ago
• appurwar / Contextual-Bandit-News-Article-Recommendation
  Predict and recommend the news articles, user is most likely to click in real time.
  ☆32Updated 7 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 6 years ago
• ts302team / KDDCUP2019-AutoMLTrack
  The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.
  ☆15Updated 5 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 6 years ago
• jrzaurin / neural_cf
  Comparing keras, pytorch and gluon using neural collaborative filtering
  ☆18Updated 6 years ago
• criteo-research / blob
  Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020…
  ☆16Updated 2 years ago
• david-cortes / ctpfrec
  Python implementation of "Content-based recommendations with poisson factorization", with some extensions
  ☆30Updated last year
• jamborta / tffm2
  ☆9Updated 3 years ago
• Willofd101 / ziln_cltv
  A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
  ☆29Updated last year
• atlimited / cat2vec
  ☆34Updated 8 years ago