Recommendation Algorithm Python Packages

recommenders

Best Practices on Recommendation Systems

pyreclab

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

board-game-recommender

Board game recommendation engine

ezsasrec

An easy and efficient tool to build sequential recommendation system utilizing SASRec

pre-reco-utils

Best Practices on Recommendation Systems

pysarplus

Best Practices on Recommendation Systems

rlprop-rs

RLProp — results-level proportional selection for multi-objective recommender systems: pick top-k items so relevance, diversity, novelty & fairness appear in the ratios you set, via mandate-allocation / fuzzy-D'Hondt. Pure-NumPy, pip-installable Python library. Re-ranking · MOO · SIGIR'22.

tensorrec

A TensorFlow recommendation algorithm and framework in Python.

recommender-utils

Best Practices on Recommendation Systems

twon-ranker

No description available

mkpyros

[PY]thon [R]ec[O]mmender [S]ystems library

lycorisr

A lightweight recommendation algorithm framework based on LycorisNet.

byterec

A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.

ms-recommenders

Best Practices on Recommendation Systems