Arngren / bayesian-ab-test

Related projects: ⓘ

• fidelity / mab2rec
  [AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
  ☆117Updated 2 weeks ago
• slavakx / medium_posts
  ☆80Updated last year
• asash / gSASRec-pytorch
  ☆42Updated 6 months ago
• RecList / evalRS-CIKM-2022
  Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems
  ☆68Updated 6 months ago
• usaito / recsys2021-tutorial
  https://sites.google.com/cornell.edu/recsys2021tutorial
  ☆49Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆45Updated 3 years ago
• Heewon-Hailey / multi-armed-bandits-for-recommendation-systems
  implement basic and contextual MAB algorithms for recommendation system
  ☆32Updated 2 years ago
• tohtsky / irspack
  Train, evaluate, and optimize implicit feedback-based recommender systems.
  ☆28Updated last year
• NVIDIA-Merlin / publications
  ☆61Updated 2 weeks ago
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆170Updated last month
• fastforwardlabs / session_based_recommenders
  Official repo for FF19: Session-based Recommender Systems
  ☆40Updated 2 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis
  ☆75Updated 5 months ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆114Updated 4 months ago
• Quang-Vinh / matrix-factorization
  Library for matrix factorization for recommender systems using collaborative filtering
  ☆20Updated 11 months ago
• Garve / mamimo
  A package to compute a marketing mix model.
  ☆69Updated last year
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆314Updated last year
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆57Updated 2 weeks ago
• gauravchak / user_preference_modeling
  Multiple ways to model user preference in recommender systems
  ☆13Updated 4 months ago
• LienM / recpack
  GitHub Mirror of RecPack: Experimentation Toolkit for Top-N Recommendation (see https://gitlab.com/recpack-maintainers/recpack)
  ☆19Updated 9 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆197Updated last week
• irecsys / DeepCARSKit
  A Deep Learning Based Context-Aware Recommendation Library
  ☆19Updated last year
• optuna / optuna-integration
  Extended functionalities for Optuna in combination with third-party libraries.
  ☆31Updated last week
• tohtsky / myFM
  A Python/C++ implementation of Bayesian Factorization Machines
  ☆57Updated 2 weeks ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆141Updated 5 months ago
• sophwats / learning-to-rank
  ☆44Updated 5 years ago
• deliveryhero / dh-reco-dataset
  ☆18Updated 11 months ago
• NVIDIA-Merlin / competitions
  Solutions to Recommender Systems competitions
  ☆196Updated 2 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated last year
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆87Updated 8 months ago
• otto-de / recsys-dataset
  🛍 A real-world e-commerce dataset for session-based recommender systems research.
  ☆305Updated 3 months ago