matrix-factorization topic

Recommendation models that use binary rather than floating point operations at prediction time.

maciejkula

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

fuhailin

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

evfro

A Python implementation of LightFM, a hybrid recommendation algorithm.

lyst

Deep recommender models using PyTorch.

maciejkula

Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net

conradsnicta

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

MaurizioFD

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

sisinflab

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

andrewssobral

fastFM: A Library for Factorization Machines

ibayer