Matrix Factorization Python 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

buffalo

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

scdef

Deep exponential families for single-cell data.

matrix-factorization

Library for matrix factorization for recommender systems using collaborative filtering

rtrec

An realtime recommendation system supporting online updates

smurff

Bayesian Factorization with Side Information in C++ with Python wrapper

scproject

Transfer Learning of Gene Expression Signatures in Python.

rectorch

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

recometrics

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

orange3-datafusion

Orange DataFusion add-on.

reclearn

A simple package about learning recommendation

archepy

Multi-Subject Archetypal Analysis (MS-AA) for fMRI data, in Python.

equadratures

Polynomial approximations

flurs

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

ml-recsys-tools

Tools for development of recommendation systems in Python.

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)

blauwal3-datafusion

🍊 :link: Data fusion add-on for Orange3

enstop

Ensemble topic modelling with pLSA

libmf

Python bindings to the libmf c++ repo for Matrix Factorization. libmf is fast, highly parallel, and can support factoring large matrices without holding them all in memory.