Alternatives and similar repositories for learning-to-rank

Users that are interested in learning-to-rank are comparing it to the libraries listed below

• eugeneyan / recsys-nlp-graph
  🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.
  ☆146Updated last year
• NVIDIA-Merlin / publications
  ☆64Updated 7 months ago
• coveooss / SIGIR-ecom-data-challenge
  ☆106Updated last year
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆141Updated 6 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• statisticianinstilettos / recmetrics
  A library of metrics for evaluating recommender systems
  ☆582Updated 2 years ago
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆174Updated last year
• fastforwardlabs / session_based_recommenders
  Official repo for FF19: Session-based Recommender Systems
  ☆40Updated 4 years ago
• mkurovski / deep_learning_recsys
  Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
  ☆93Updated 7 years ago
• microsoft / rankerEval
  A fast numpy-based implementation of ranking metrics for information retrieval and recommendation.
  ☆32Updated 3 years ago
• cemoody / simple_mf
  Simple but Flexible Recommendation Engine in PyTorch
  ☆133Updated 3 years ago
• RecList / evalRS-CIKM-2022
  Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems
  ☆71Updated last year
• jacopotagliabue / retail-personalization-workshop
  In-Session Personalization Workshop for eCommerce, April 2021, and the MICES Workshop in June 2021.
  ☆23Updated 4 years ago
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆178Updated last year
• arimbr / valohai-fasttext-example
  Production Machine Learning Pipeline for Text Classification with fastText
  ☆33Updated 4 years ago
• animeshgoyal9 / Multi-Armed-Bandit-for-cold-user-in-Recommendation-System
  ☆27Updated 6 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• Med-ELOMARI / LightFM-Dataset-Helper
  python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training
  ☆20Updated 3 years ago
• RecList / reclist
  Behavioral "black-box" testing for recommender systems
  ☆468Updated 2 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• sophwats / XGBoost-lambdaMART
  Running LambdaMART using XGBoost
  ☆53Updated 7 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…
  ☆104Updated 11 months ago
• PreferredAI / tutorials
  A tutorial series by Preferred.AI
  ☆178Updated 9 months ago
• khanhnamle1994 / MetaRec
  PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
  ☆310Updated 3 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• PacktPublishing / Hands-On-Recommendation-Systems-with-Python
  Hands-On Recommendation Systems with Python published by Packt
  ☆272Updated 3 years ago
• deezer / carousel_bandits
  Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendad…
  ☆59Updated 5 years ago
• Swiggy / Moo-GBT
  Library for Multi-objective optimization in Gradient Boosted Trees
  ☆78Updated last year
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• jacopotagliabue / recs-at-resonable-scale
  Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
  ☆241Updated 2 years ago