matrix-completion

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MaurizioFD /RecSys2019_DeepLearning_Evaluation

Star985

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.

deep-learning neural-network reproducible-research collaborative-filtering matrix-factorization hyperparameters bpr recommendation-system recommender-system reproducibility recommendation-algorithms knn matrix-completion evaluation-framework content-based-recommendation hybrid-recommender-system funksvd bprmf bprslim slimelasticnet

UpdatedMay 25, 2023
Python

andrewssobral /lrslibrary

Star885

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

matlab matrix matrix-factorization tensor rpca matrix-completion tensor-decomposition subspace-tracking subspace-learning

UpdatedNov 22, 2025
MATLAB

dselivanov /rsparse

Star181

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

r collaborative-filtering matrix-factorization recommender-system factorization-machines svd matrix-completion sparse-matrices

UpdatedFeb 17, 2025
R

christopherjenness /NBA-prediction

Star159

Predict scores of NBA games using regularized matrix completion

nba matrix-completion nba-games nba-prediction

UpdatedMar 1, 2019
Python

andrewssobral /mctc4bmi

Star112

Matrix and Tensor Completion for Background Model Initialization

matlab matrix tensors matrix-completion tensor-completion background-modeling

UpdatedMar 12, 2021
MATLAB

tonyduan /matrix-completion

Star107

Lightweight Python library for in-memory matrix completion.

collaborative-filtering matrix-factorization matrix-completion

UpdatedJul 6, 2023
Python

KlugerLab /ALRA

Star77

Imputation method for scRNA-seq based on low-rank approximation

dropout imputation scrna-seq svd matrix-completion

UpdatedDec 14, 2023
R

zhanglabtools /DSMO.course

Star74

Data Science and Matrix Optimization course

data-science course-materials matrix-factorization manifold-learning matrix-completion subspace-clustering manifold-alignment precision-matrix-estimation

UpdatedSep 2, 2020

hiroyuki-kasai /GDLibrary

Star69

Matlab library for gradient descent algorithms: Version 1.0.1

machine-learning big-data newton optimization svm linear-regression machine-learning-algorithms statistical-learning lasso classification logistic-regression gradient gradient-descent softmax-regression optimization-algorithms matrix-completion multinomial-regression rosenbrock-problem

UpdatedJul 2, 2018
MATLAB

cykbennie /fbi

Star62

Factor-Based Imputation for Missing Data

r statistics econometrics missing-data matrix-completion synthetic-control r-packages

UpdatedJan 24, 2025
R

hiroyuki-kasai /SparseGDLibrary

Star55

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

machine-learning big-data algorithms optimization machine-learning-algorithms solver lasso logistic-regression gradient-descent support-vector-machines admm proximal-algorithms proximal-operators sparse-regression optimization-algorithms matrix-completion elasticnet lasso-regression coordinate-descent sparse-linear-solver

UpdatedNov 20, 2018
MATLAB

CrickWu /GCMC

Star54

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

collaborative-filtering edge-prediction matrix-completion graph-convolutional-networks

UpdatedNov 5, 2018
Python

YyzHarry /ME-Net

Star54

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

defense matrix-completion icml robustness adversarial-example adversarial-attacks icml-2019 ml-safety matrix-estimation

UpdatedOct 29, 2025
Python

ImKeTT /Low-rank_Matrix-completion

Star47

[Tool] Low rank matrix recovery by minimizing matrix norm

matrix-completion low-rank-matrix-recovery

UpdatedJun 8, 2020
MATLAB

A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision application.

computer-vision matrix-completion pairwise-comparison visual-complexity wacv19

UpdatedSep 27, 2020
Python

hiroyuki-kasai /OLSTEC

Star38

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

machine-learning machine-learning-algorithms matrix-factorization tensor online-learning background-subtraction matrix-completion tensor-decomposition subspace-learning low-rank-factorization gradient-descent-algorithm stochastic-gradient-descent cp-decomposition large tensor-cp-decomposition grasta grouse petrels sequential-data-analysis

UpdatedJan 13, 2023
MATLAB

YyzHarry /SV-RL

Star34

[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning

reinforcement-learning deep-reinforcement-learning planning controls matrix-completion value-iteration value-function iclr low-rank iclr2020

UpdatedFeb 1, 2020
Python

baggepinnen /TotalLeastSquares.jl

Star33

Solve many kinds of least-squares and matrix-recovery problems

linear-regression estimation least-squares imputation outlier-detection missing-data matrix-completion robust-pca singular-value-decomposition least-square-regression nonnegative-matrix-factorization robust-regresssion total-least-square robust-estimation robust-statistics errors-in-variables missing-data-imputation

UpdatedOct 29, 2023
Julia

WWXkenmo /ENIGMA

Star27

A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)

single-cell matrix-completion deconvolution spatial-transcriptomics cell-type-gene-expression-analysis cell-type-deconvolution bulk-rna-seq-deconvolution

UpdatedJun 21, 2023
HTML

lanl /T-ELF

Star24

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

machine-learning hpc gpu matrix matrix-factorization feature-extraction high-performance-computing semi-supervised-learning dimensionality-reduction tensor-factorization tensors unsupervised-learning matrix-completion tensor-decomposition latent-variables blind-source-separation non-negative-matrix-factorization text-preprocessing pattern-extraction

UpdatedOct 8, 2025
Python

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