Alternatives and similar repositories for bayesian-ab-test

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

• industry-bandits / practical-bandits-tutorial
  ☆21Updated 2 years ago
• usaito / recsys2021-tutorial
  https://sites.google.com/cornell.edu/recsys2021tutorial
  ☆54Updated 3 years ago
• RecList / evalRS-CIKM-2022
  Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems
  ☆72Updated last year
• fidelity / mab2rec
  [AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
  ☆144Updated 7 months ago
• RobKuebler / mamimo
  A package to compute a marketing mix model.
  ☆70Updated last year
• tohtsky / irspack
  Train, evaluate, and optimize implicit feedback-based recommender systems.
  ☆31Updated 2 years ago
• NVIDIA-Merlin / publications
  ☆62Updated last week
• asash / gSASRec-pytorch
  ☆50Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• fastforwardlabs / session_based_recommenders
  Official repo for FF19: Session-based Recommender Systems
  ☆41Updated 3 years ago
• gauravchak / user_preference_modeling
  Multiple ways to model user preference in recommender systems
  ☆15Updated last year
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆176Updated 9 months ago
• otto-de / MultiTRON
  🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.
  ☆31Updated 3 weeks ago
• Heewon-Hailey / multi-armed-bandits-for-recommendation-systems
  implement basic and contextual MAB algorithms for recommendation system
  ☆40Updated 3 years ago
• LienM / recpack
  GitHub Mirror of RecPack: Experimentation Toolkit for Top-N Recommendation (see https://gitlab.com/recpack-maintainers/recpack)
  ☆20Updated last year
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• coveooss / SIGIR-ecom-data-challenge
  ☆103Updated 8 months ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆326Updated 2 years ago
• fabioiuri / DRecPy
  Deep Recommenders with Python: A Python library for building Deep Learning based Recommender Systems
  ☆28Updated 4 years ago
• gauravchak / two_tower_models
  We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval mor…
  ☆72Updated 3 months ago
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆42Updated 3 years ago
• tohtsky / myFM
  A Python/C++ implementation of Bayesian Factorization Machines
  ☆55Updated 9 months ago
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆61Updated 9 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆160Updated 2 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
• Darel13712 / rs_datasets
  Tool for autodownloading recommendation systems datasets
  ☆39Updated 2 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆139Updated 5 years ago
• slavakx / medium_posts
  ☆88Updated last year
• williambdean / pymc-mlflow-example
  MLflow logging for PyMC
  ☆9Updated 2 months ago
• RecList / reclist
  Behavioral "black-box" testing for recommender systems
  ☆467Updated last year