Matrix Factorization Python Packages

rusket

rusket 🦀🧺

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

metal-linalg

QR, symmetric eigendecomposition and SVD for batches of matrices on Apple Silicon GPUs, for MLX and PyTorch. 2x to 10x gain in performance. Metal kernels per regime, routed to the GPU or the CPU by policies measured per Mac. C++, Python (pip: metal-linalg, metal-linalg-torch), Swift and C.

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

metal-linalg-torch

QR, symmetric eigendecomposition and SVD for batches of matrices on Apple Silicon GPUs, for MLX and PyTorch. 2x to 10x gain in performance. Metal kernels per regime, routed to the GPU or the CPU by policies measured per Mac. C++, Python (pip: metal-linalg, metal-linalg-torch), Swift and C.

buffalo

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

rtrec

An realtime recommendation system supporting online updates

scdef

Deep exponential families for single-cell data.

matrix-factorization

Library for matrix factorization for recommender systems using collaborative filtering

scproject

Transfer Learning of Gene Expression Signatures in Python.

smurff

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

recometrics

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

flurs

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

equadratures

Polynomial approximations

reclearn

Recommender Learning with Tensorflow2.x

orange3-datafusion

🍊 :link: Data fusion add-on for Orange3

reco

a simple yet versatile recommendation systems library in python

matrix-completion

Lightweight Python library for in-memory matrix completion.

recotem

Recipe-driven recommender systems on irspack — one YAML = one model = one recommendation API. Train writes a signed artifact; serve mounts it with hot-swap. Single binary, no database.

ml-recsys-tools

Tools for development of recommendation systems in Python.

rectorch

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

enstop

Ensemble topic modelling with pLSA