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Top 78 matrix-factorization open source projects

Gemsec
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Polara
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.
Implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Cofactor
CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
Netmf
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Bionev
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Cumf als
CUDA Matrix Factorization Library with Alternating Least Square (ALS)
Rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Recotour
A tour through recommendation algorithms in python [IN PROGRESS]
Robustpca
Robust PCA implementation and examples (Matlab)
Metarec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
Scikit Fusion
scikit-fusion: Data fusion via collective latent factor models
Carskit
Java-Based Context-aware Recommendation Library
Flurs
🌊 FluRS: A Python library for streaming recommendation algorithms
Expo Mf
Exposure Matrix Factorization: modeling user exposure in recommendation
Recosystem
Recommender System Using Parallel Matrix Factorization
Tene
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Recoder
Large scale training of factorization models for Collaborative Filtering with PyTorch
Tadw
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Deeprec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Orange3 Recommendation
🍊 👎 Add-on for Orange3 to support recommender systems.
Mrsr
MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.
Robust Nmf
Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."
Suitesparse
SuiteSparse: a suite of sparse matrix packages by T. A. Davis et al. (This repository contains copies of the official versions.)
Medusa
Jumping across biomedical contexts using compressive data fusion
Recsys2019 deeplearning evaluation
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.
Lrslibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Buffalo
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
Nimfa
Nimfa: Nonnegative matrix factorization in Python
Armadillo Code
Armadillo: fast C++ library for linear algebra & scientific computing - http://arma.sourceforge.net
Lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
Smore
SMORe: Modularize Graph Embedding for Recommendation
Recommend
recommendation system with python
Daisyrec
A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks
Attentionwalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
pprec
a recommender engine node-js package for general use and easy to integrate.
PHDMF
This is a new deep learning model for recommender system, which we called PHD
STACP
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020
Course-Recommendation-System
A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
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