Collaborative Filtering Python Packages

rusket

rusket 🦀🧺

recbole

A unified, comprehensive and efficient recommendation library

librecommender

Versatile End-to-End Recommender System

torchfm

Factorization Machine models in PyTorch

cmfrec

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

replay-rec

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

myfm

A Python/C++ implementation of Bayesian Factorization Machines

rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

rtrec

An realtime recommendation system supporting online updates

fneighcf

Python implementation of 'Factor in the neighbors: Scalable and accurate collaborative filtering'

matrix-factorization

Library for matrix factorization for recommender systems using collaborative filtering

corerec

Python recommendation systems framework : 35 deep-learning models, unified fit/predict/recommend API, multi-stage pipelines. pip install corerec

rfscorer

Recency-Frequency based recommendation scoring for product recommendation.

neighbors

A package to perform collaborative filtering on emotion datasets.

similaripy

High-performance KNN similarity functions in Python, optimized for sparse matrices

rec-pangu

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

sansa

SANSA - sparse EASE for millions of items

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

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.

benchscofi

Package which contains implementations of published collaborative filtering-based algorithms for drug repurposing.

rectorch

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

stanscofi

Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.