Alternatives and similar repositories for outrank:

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

• jacopotagliabue / retail-personalization-workshop
  In-Session Personalization Workshop for eCommerce, April 2021, and the MICES Workshop in June 2021.
  ☆22Updated 3 years ago
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆41Updated 2 years ago
• lenskit / lk-demo-experiment
  Example project for running LensKit experiments
  ☆13Updated last week
• coveooss / SIGIR-ecom-data-challenge
  ☆101Updated 7 months ago
• smeznar / SNoRe
  SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
  ☆11Updated last year
• david-cortes / ctpfrec
  Python implementation of "Content-based recommendations with poisson factorization", with some extensions
  ☆30Updated last year
• rakutentech / spark-dirty-cat
  Similarity encoding of dirty categorical variables (strings)
  ☆20Updated 6 years ago
• microsoft / rankerEval
  A fast numpy-based implementation of ranking metrics for information retrieval and recommendation.
  ☆32Updated 2 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• msubzero2000 / bayesian-optimisation-metaflow-optuna
  example how to perform distributed bayesian optimisation (autoML) using optuna on metaflow
  ☆10Updated 3 years ago
• Kenza-AI / mab-ranking
  Online Ranking with Multi-Armed-Bandits
  ☆18Updated 3 years ago
• linkedin / lambda-learner
  Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
  ☆42Updated last year
• januverma / transformers-for-sequential-recommendation
  Notebooks on using transformers for sequential recommendation tasks
  ☆16Updated 2 years ago
• ISG-Siegen / Auto-Surprise
  An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning
  ☆28Updated 11 months ago
• mariyahendriksen / awesome-intent-analysis
  Reading list for research topics in intent analysis.
  ☆15Updated last year
• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆52Updated last year
• ing-bank / spark-matcher
  Record matching and entity resolution at scale in Spark
  ☆34Updated last year
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆53Updated last year
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆58Updated 6 years ago
• gauravchak / user_preference_modeling
  Multiple ways to model user preference in recommender systems
  ☆14Updated 11 months ago
• januverma / transformers-stuff
  Codes, scripts, and notebooks on various aspects of transformer models.
  ☆27Updated 2 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated 9 months ago
• ShopRunner / octopod
  Train multi-task image, text, or ensemble (image + text) models
  ☆45Updated last year
• dtriepke / nlp_model_selection_app
  ☆16Updated 4 years ago
• BaseModelAI / booking-challenge
  ☆41Updated 4 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• RecList / evalRS-CIKM-2022
  Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems
  ☆71Updated last year
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆106Updated 2 years ago
• maciejkula / explicit-vs-implicit
  An experiment on explicit vs implicit feedback recommenders
  ☆25Updated 7 years ago