77 Open source projects that are alternatives of or similar to Robustpca

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

matrix factorization in PyTorch

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

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

fastFM: A Library for Factorization Machines

📖Notes and remarks on Machine Learning related papers

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Ensemble topic modelling with pLSA

Nimfa: Nonnegative matrix factorization in Python

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

This is a Machine Learning project to create a "Movie Recommender System" and predict user ratings for movies using cosine similarity.

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."

a recommender engine node-js package for general use and easy to integrate.

MADS: Model Analysis & Decision Support

This is a new deep learning model for recommender system, which we called PHD

Jumping across biomedical contexts using compressive data fusion

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

Java-Based Context-aware Recommendation Library

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

recommender system tutorial with Python

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

🛍️RetailBox - eCommerce Recommender System using Machine Learning

A Python implementation of LightFM, a hybrid recommendation algorithm.

recommendation system with python

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

LibRec: A Leading Java Library for Recommender Systems, see

Recommender System Using Parallel Matrix Factorization

pytorch version of neural collaborative filtering

Fast Clojure Matrix Library

Scala Math - Numerical (Matlab-like) and Symbolic (Mathematica-like) tool

scikit-fusion: Data fusion via collective latent factor models

No description or website provided.

SuiteSparse: a suite of sparse matrix packages by T. A. Davis et al. (This repository contains copies of the official versions.)

content discovery... IN 3D

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

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.

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

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

A tutorial on scalable retrieval of matrix factorization recommendations

Recurrence the recommender paper with Tensorflow2.0

Some common recommendation system baseline, with description and link.

Large scale training of factorization models for Collaborative Filtering with PyTorch

Computational Methods for Numerical Analysis

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

🌊 FluRS: A Python library for streaming recommendation algorithms

Building recommender systems in Julia

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

Quick-Data-Science-Experiments

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

SMORe: Modularize Graph Embedding for Recommendation

A curated list of community detection research papers with implementations.

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

Exposure Matrix Factorization: modeling user exposure in recommendation

🍊 👎 Add-on for Orange3 to support recommender systems.

A Comparative Framework for Multimodal Recommender Systems