matrix-completion

There are 9 repositories under matrix-completion topic.

MaurizioFD / 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.
recommender-system recommendation-system recommendation-algorithms deep-learning evaluation-framework neural-network collaborative-filtering content-based-recommendation hybrid-recommender-system reproducibility reproducible-research knn matrix-factorization matrix-completion bpr bprmf bprslim funksvd slimelasticnet hyperparameters
Language:Python 979
andrewssobral / lrslibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
matlab matrix matrix-completion matrix-factorization rpca subspace-learning subspace-tracking tensor tensor-decomposition
Language:MATLAB 825
dselivanov / rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
collaborative-filtering recommender-system r matrix-factorization matrix-completion factorization-machines svd sparse-matrices
Language:R 169
christopherjenness / NBA-prediction
Predict scores of NBA games using regularized matrix completion
nba nba-prediction nba-games matrix-completion
Language:Python 152
andrewssobral / mctc4bmi
Matrix and Tensor Completion for Background Model Initialization
matlab matrix-completion tensor-completion matrix tensors background-modeling
Language:MATLAB 106
tonyduan / matrix-completion
Lightweight Python library for in-memory matrix completion.
matrix-completion matrix-factorization collaborative-filtering
Language:Python 101
KlugerLab / ALRA
Imputation method for scRNA-seq based on low-rank approximation
scrna-seq svd imputation dropout matrix-completion
Language:R 72
zhanglabtools / DSMO.course
Data Science and Matrix Optimization course
data-science matrix-factorization course-materials subspace-clustering matrix-completion manifold-alignment manifold-learning precision-matrix-estimation
70
hiroyuki-kasai / GDLibrary
Matlab library for gradient descent algorithms: Version 1.0.1
big-data classification gradient gradient-descent lasso linear-regression logistic-regression machine-learning machine-learning-algorithms matrix-completion multinomial-regression newton optimization optimization-algorithms rosenbrock-problem softmax-regression statistical-learning svm
Language:Matlab 61
cykbennie / fbi
Factor-Based Imputation for Missing Data
missing-data econometrics synthetic-control matrix-completion r statistics r-packages
Language:R 54
CrickWu / GCMC
Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
graph-convolutional-networks matrix-completion collaborative-filtering edge-prediction
Language:Python 53
hiroyuki-kasai / SparseGDLibrary
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
optimization optimization-algorithms machine-learning-algorithms machine-learning big-data gradient-descent sparse-linear-solver sparse-regression lasso-regression lasso elasticnet solver algorithms admm proximal-algorithms proximal-operators logistic-regression matrix-completion coordinate-descent support-vector-machines
Language:MATLAB 52
YyzHarry / ME-Net
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
adversarial-attacks adversarial-example robustness matrix-estimation defense ml-safety matrix-completion icml icml-2019
Language:Python 52
ImKeTT / Low-rank_Matrix-completion
[Tool] Low rank matrix recovery by minimizing matrix norm
matrix-completion low-rank-matrix-recovery
Language:MATLAB 44
esaraee / Savoias-Dataset
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 visual-complexity pairwise-comparison matrix-completion wacv19
Language:Python 39
hiroyuki-kasai / OLSTEC
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
background-subtraction cp-decomposition gradient-descent-algorithm grasta grouse large low-rank-factorization machine-learning machine-learning-algorithms matrix-completion matrix-factorization online-learning petrels sequential-data-analysis stochastic-gradient-descent subspace-learning tensor tensor-cp-decomposition tensor-decomposition
Language:MATLAB 34
YyzHarry / SV-RL
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
reinforcement-learning low-rank planning controls deep-reinforcement-learning value-iteration matrix-completion value-function iclr iclr2020
Language:Python 34
baggepinnen / TotalLeastSquares.jl
Solve many kinds of least-squares and matrix-recovery problems
estimation least-squares least-square-regression linear-regression errors-in-variables total-least-square singular-value-decomposition robust-pca robust-regresssion robust-estimation robust-statistics matrix-completion missing-data imputation missing-data-imputation nonnegative-matrix-factorization outlier-detection
Language:Julia 32
WWXkenmo / ENIGMA
A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)
single-cell deconvolution matrix-completion cell-type-deconvolution cell-type-gene-expression-analysis bulk-rna-seq-deconvolution spatial-transcriptomics
Language:HTML 26
JoonyoungYi / MCAM-numpy
Low-rank Matrix Completion using Alternating Minimization
matrix-completion collaborative-filtering machine-learning
Language:Python 22
nmduc / neural-matrix-completion
Source code for the paper "Extendable Neural Matrix Completion"
matrix-completion matrix-factorization neural-network deep-learning tensorflow
Language:Python 16
amjadseyedi / EADNMF
Elastic Adversarial Deep Nonnegative Matrix Factorization for Matrix Completion
adversarial-training elastic-loss image-inpainting matrix-completion matrix-factorization nonnegative-matrix-factorization
Language:Python 12
clarkzinzow / Machine-Learning-and-Signal-Processing-Algorithms
MATLAB implementations of a variety of machine learning/signal processing algorithms.
machine-learning algorithm matlab-implementations signal-processing-algorithms algorithms-implemented ml proximal-algorithms proximal-operators gradient-descent gradient-descent-algorithm stochastic-gradient-descent backpropagation backpropagation-learning-algorithm backpropagation-algorithm matrix-completion partial-sampling
Language:MATLAB 11
liulizhi1996 / HPOFiller
The implementation of paper "HPOFiller: identifying missing protein-phenotype associations by graph convolutional network".
human-phenotype-ontology graph-convolutional-network matrix-completion
Language:Python 11
JoonyoungYi / MCCO-numpy
Exact Matrix Completion via Convex Optimization
matrix-completion collaborative-filtering machine-learning applied-mathematics
Language:Python 10
krislock / ExpVecEDM
MATLAB code for solving the Euclidean Distance Matrix completion problem.
euclidean-distances matrix-completion sensor-network
Language:MATLAB 10
praneethmurthy / NORST
MATLAB implementation of "Nearly Optimal Robust Subspace Tracking", ICML 2018. Longer version to appear in IEEE Journal of Selected Areas in Information Theory, 2020.
robust-pca subspace-learning subspace-tracking subspace-analysis matrix-factorization matrix-completion icml-2018
Language:MATLAB 9
YangLabHKUST / mfair
mfair: Matrix Factorization with Auxiliary Information in R
empirical-bayes gradient-boosting matrix-completion matrix-factorization variational-inference r expectation-maximization-algorithm low-rank
Language:R 8
lanl / T-ELF
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.
blind-source-separation dimensionality-reduction feature-extraction gpu high-performance-computing hpc latent-variables machine-learning matrix matrix-factorization non-negative-matrix-factorization pattern-extraction semi-supervised-learning tensor-decomposition tensor-factorization tensors text-preprocessing unsupervised-learning matrix-completion
Language:Python 7
maryram / DiffStru
An official implementation of "Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization"
python information-diffusion link-prediction matrix-completion matrix-factorization non-negative-matrix-factorization
Language:Python 7
cchao0116 / GSIMC-ICLR2023
Code for ICLR2023 paper "Graph Signal Sampling for Inductive 1-bit Matrix Completion: a Closed-Form Solution"
graph-signal-processing matrix-completion spectral-analysis
Language:Python 6
mmahesh / cocain-bpg-matrix-factorization
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
matrix-factorization proximal-algorithms matrix-decompositions matrix-completion optimization-algorithms non-convex-optimization non-negative-matrix-factorization nmf-decomposition nmf machine-learning signal-processing proximal-operators
Language:Python 6
yugjerry / conf-mc
Conformalized matrix completion
conformal-prediction distribution-free matrix-completion
Language:Jupyter Notebook 6
adrtod / hasi
Hierarchical Adaptive Soft Impute
impute-algorithm matlab spectral-regularization-algorithms matrix-factorization matrix-completion
Language:MATLAB 5
DongSylan / LIMC
Codes for the paper titled "Enhancing Matrix Completion via Using a Modified Second-order Total Variation"
matrix-completion matlab-codes
5
jingxuanyang / LowRankMatrixRestoration
This project focuses on low-rank matrix restoration with robust principal component analysis (RPCA) and matrix completion (MC).
low-rank-matrix-recovery matrix-completion python robust-pca
Language:Jupyter Notebook 5