Search Packages

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

rusket

rusket 🦀🧺

irspack

Train, evaluate, and optimize implicit feedback-based recommender systems.

nimfa

Nimfa: Nonnegative matrix factorization in Python

replay-rec

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

scdef

Deep exponential families for single-cell data.

buffalo

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

smurff

Bayesian Factorization Methods

matrix-factorization

Library for matrix factorization for recommender systems using collaborative filtering

rtrec

An realtime recommendation system supporting online updates

scproject

Transfer Learning of Gene Expression Signatures in Python.

reclearn

A simple package about learning recommendation

recometrics

(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems

equadratures

Polynomial approximations

rectorch

rectorch: state-of-the-art recsys approaches implemented in pytorch.

ml-recsys-tools

Tools for recommendation systems development

flurs

:ocean: FluRS: A Python library for streaming recommendation algorithms

orange3-datafusion

🍊 :link: Data fusion add-on for Orange3

libmf

python bindings to libmf

daisyrec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

enstop

Ensemble topic modelling with pLSA

wbimplicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

blauwal3-datafusion

🍊 :link: Data fusion add-on for Orange3