Alternatives and similar repositories for bayesian-ab-test:

Users that are interested in bayesian-ab-test are comparing it to the libraries listed below

• usaito / recsys2021-tutorial
  https://sites.google.com/cornell.edu/recsys2021tutorial
  ☆54Updated 3 years ago
• fidelity / mab2rec
  [AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
  ☆142Updated 6 months ago
• tohtsky / irspack
  Train, evaluate, and optimize implicit feedback-based recommender systems.
  ☆30Updated last year
• RecList / evalRS-CIKM-2022
  Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems
  ☆72Updated last year
• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆142Updated 10 months ago
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆176Updated 8 months ago
• slavakx / medium_posts
  ☆88Updated last year
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆70Updated last year
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆326Updated 2 years ago
• NVIDIA-Merlin / publications
  ☆62Updated last month
• asash / gSASRec-pytorch
  ☆49Updated last year
• Matt52 / bayesian-testing
  Bayesian A/B testing
  ☆77Updated 2 months ago
• fastforwardlabs / session_based_recommenders
  Official repo for FF19: Session-based Recommender Systems
  ☆41Updated 3 years ago
• jacopotagliabue / recs-at-resonable-scale
  Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
  ☆238Updated 2 years ago
• st-tech / zr-obp
  Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
  ☆667Updated 11 months ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆76Updated 3 weeks ago
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆41Updated 2 years ago
• gauravchak / user_preference_modeling
  Multiple ways to model user preference in recommender systems
  ☆14Updated last year
• industry-bandits / practical-bandits-tutorial
  ☆21Updated 2 years ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆85Updated 5 years ago
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆24Updated 2 years ago
• david26694 / cluster-experiments
  Power analysis and AB test analysis library
  ☆37Updated 3 weeks ago
• RecList / reclist
  Behavioral "black-box" testing for recommender systems
  ☆467Updated last year
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆138Updated 5 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• tohtsky / myFM
  A Python/C++ implementation of Bayesian Factorization Machines
  ☆55Updated 8 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆220Updated 4 months ago
• fabioiuri / DRecPy
  Deep Recommenders with Python: A Python library for building Deep Learning based Recommender Systems
  ☆28Updated 4 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago