Alternatives and similar repositories for ABanditTesting

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

• cemoody / simple_mf
  Simple but Flexible Recommendation Engine in PyTorch
  ☆133Updated 3 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆90Updated 2 years ago
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆178Updated last year
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆61Updated 6 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆155Updated 7 years ago
• umeshksingla / news-recommend-ire
  Stream Data based News Recommendation - Contextual Bandit Approach
  ☆47Updated 8 years ago
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆141Updated 6 years ago
• PGuti / DeepBeer
  Experimentations on beers recsys using Keras
  ☆25Updated 8 years ago
• criteo-research / bandit-reco
  ☆51Updated 5 years ago
• PGuti / Uplift
  About uplift modeling
  ☆30Updated 9 years ago
• jldbc / bandits
  Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset
  ☆57Updated 5 years ago
• psarka / uplift
  ☆34Updated 7 years ago
• david-cortes / datascienceprojects
  Sample data science projects (machine learning, optimization, business intelligence)
  ☆28Updated 7 years ago
• MaxHalford / kaggle-recruit-restaurant
  Kaggle 8th place solution
  ☆107Updated 2 years ago
• drivendataorg / power-laws-cold-start
  ☆24Updated 2 years ago
• narviis / bayesian-abtests-examples
  Bayesian AB Tests Examples
  ☆22Updated 3 years ago
• beckernick / matrix_factorization_recommenders
  Low-Rank Matrix Factorization for Recommender Systems
  ☆73Updated 9 years ago
• sparsh-ai / reco-bandit
  Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning
  ☆13Updated 4 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 3 years ago
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated 2 years ago
• rosetta-ai / rosetta_recsys2019
  The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
  ☆58Updated 6 years ago
• Danila89 / kaggle_mercedes
  The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle
  ☆54Updated 8 years ago
• duketemon / pyuplift
  Lightweight uplift modeling framework for Python
  ☆28Updated 6 years ago
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆51Updated 7 years ago
• husnejahan / Multi-armed-bandits-for-dynamic-movie-recommendations
  Multi-armed bandits for dynamic movie recommendations
  ☆14Updated 6 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 6 years ago
• olivkoch / intro-to-reco
  introduction class to recommendation systems
  ☆22Updated 6 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆49Updated 7 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago