Alternatives and similar repositories for CUR-matrix-decomposition

Users that are interested in CUR-matrix-decomposition are comparing it to the libraries listed below

• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 11 years ago
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆89Updated 2 months ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 3 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 10 years ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆20Updated 6 years ago
• oeufracio / NMF_ADMM_LR
  NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers
  ☆10Updated 8 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 9 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆51Updated 9 years ago
• andrewssobral / imtsl
  IMTSL - Incremental and Multi-feature Tensor Subspace Learning
  ☆36Updated 4 years ago
• steven2358 / kmbox
  Kernel Methods Toolbox for Matlab/Octave
  ☆52Updated 6 years ago
• quanmingyao / FaNCL
  Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code
  ☆22Updated 6 years ago
• kimjingu / nonnegfac-matlab
  Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations
  ☆59Updated 11 years ago
• kgilman / TOUCAN
  Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra
  ☆12Updated 4 months ago
• bodono / apg
  A lightweight accelerated proximal-gradient package for matlab
  ☆34Updated 9 years ago
• FurongHuang / ConvDicLearnTensorFactor
  Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…
  ☆17Updated 9 years ago
• bobye / WBC_Matlab
  Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …
  ☆24Updated 6 years ago
• XtractOpen / Meganet.m
  A fresh approach to deep learning written in MATLAB
  ☆24Updated 3 years ago
• UMD-ISL / Matlab-Toolbox-for-Dimensionality-Reduction
  Matlab Toolbox for Dimensionality Reduction
  ☆39Updated 11 years ago
• stephenbeckr / fastRPCA
  Matlab code for all variants of robust PCA and SPCP
  ☆126Updated 4 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 12 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆20Updated 6 years ago
• ryotat / dal
  Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning
  ☆34Updated 10 years ago
• mp4096 / adawhatever
  MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
  ☆33Updated 5 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• JeanKossaifi / FISTA
  Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.
  ☆95Updated 7 years ago
• quanmingyao / FasTer
  Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.
  ☆16Updated 6 years ago
• andrewssobral / tensor_toolbox
  MATLAB Tensor Toolbox (by Tamara Kolda)
  ☆40Updated 9 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 10 years ago
• felipeyanez / nmf
  Primal-dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence
  ☆23Updated 6 years ago
• dlaptev / RobustPCA
  Robust PCA implementation and examples (Matlab)
  ☆208Updated 7 years ago