matrix-completion
There are 77 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.
andrewssobral/lrslibrary
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
dselivanov/rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
christopherjenness/NBA-prediction
Predict scores of NBA games using regularized matrix completion
andrewssobral/mctc4bmi
Matrix and Tensor Completion for Background Model Initialization
tonyduan/matrix-completion
Lightweight Python library for in-memory matrix completion.
KlugerLab/ALRA
Imputation method for scRNA-seq based on low-rank approximation
zhanglabtools/DSMO.course
Data Science and Matrix Optimization course
hiroyuki-kasai/GDLibrary
Matlab library for gradient descent algorithms: Version 1.0.1
cykbennie/fbi
Factor-Based Imputation for Missing Data
CrickWu/GCMC
Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
hiroyuki-kasai/SparseGDLibrary
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
YyzHarry/ME-Net
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
ImKeTT/Low-rank_Matrix-completion
[Tool] Low rank matrix recovery by minimizing matrix norm
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.
hiroyuki-kasai/OLSTEC
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
baggepinnen/TotalLeastSquares.jl
Solve many kinds of least-squares and matrix-recovery problems
YyzHarry/SV-RL
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
WWXkenmo/ENIGMA
A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)
JoonyoungYi/MCAM-numpy
Low-rank Matrix Completion using Alternating Minimization
nmduc/neural-matrix-completion
Source code for the paper "Extendable Neural Matrix Completion"
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.
amjadseyedi/EADNMF
Elastic Adversarial Deep Nonnegative Matrix Factorization for Matrix Completion
clarkzinzow/Machine-Learning-and-Signal-Processing-Algorithms
MATLAB implementations of a variety of machine learning/signal processing algorithms.
liulizhi1996/HPOFiller
The implementation of paper "HPOFiller: identifying missing protein-phenotype associations by graph convolutional network".
JoonyoungYi/MCCO-numpy
Exact Matrix Completion via Convex Optimization
krislock/ExpVecEDM
MATLAB code for solving the Euclidean Distance Matrix completion problem.
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.
YangLabHKUST/mfair
mfair: Matrix Factorization with Auxiliary Information in R
maryram/DiffStru
An official implementation of "Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization"
cchao0116/GSIMC-ICLR2023
Code for ICLR2023 paper "Graph Signal Sampling for Inductive 1-bit Matrix Completion: a Closed-Form Solution"
mmahesh/cocain-bpg-matrix-factorization
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
yugjerry/conf-mc
Conformalized matrix completion
DongSylan/LIMC
Codes for the paper titled "Enhancing Matrix Completion via Using a Modified Second-order Total Variation"
je-suis-tm/operations-research
Python operations research applications including sudoku solver, tictactoe gaming AI
jingxuanyang/LowRankMatrixRestoration
This project focuses on low-rank matrix restoration with robust principal component analysis (RPCA) and matrix completion (MC).