Factorization Machines Python Packages

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

torchfm

Factorization Machine models in PyTorch

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

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

flurs

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

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

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)

pyfms

A Theano-based Python implementation of Factorization Machines (Rendle 2010).

tffm

TensorFlow implementation of an arbitrary order Factorization Machine

recstudio

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

xdeepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

xlearntestbyamshoreline

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.