Popular GitHub Repositories for Matrix Factorization

A Python implementation of LightFM, a hybrid recommendation algorithm.

Deep recommender models using PyTorch.

Recommender Learning with Tensorflow2.x

A Comparative Framework for Multimodal Recommender Systems

SMORe: Modularize Graph Embedding for Recommendation

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

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

A tour through recommendation algorithms in python [IN PROGRESS]

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

scikit-fusion: Data fusion via collective latent factor models

Universal Schema based relation extraction implemented in Torch.

?Notes and remarks on Machine Learning related papers

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

Train, evaluate, and optimize implicit feedback-based recommender systems.

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.

Deep exponential families for single-cell data.

(SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’

Python implementation of Collective Matrix Factorization