Alternatives and similar repositories for bksvd:

Users that are interested in bksvd are comparing it to the libraries listed below

• stephenbeckr / fastRPCA
  Matlab code for all variants of robust PCA and SPCP
  ☆119Updated 3 years ago
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆86Updated 3 years ago
• jliang993 / Faster-FISTA
  Source codes for paper "Faster FISTA" and "Improving FISTA: Faster, Smarter and Greedier''
  ☆38Updated 2 years ago
• stephenbeckr / zeroSR1
  Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm
  ☆20Updated last month
• hiroyuki-kasai / OLSTEC
  OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
  ☆36Updated 2 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• caesarcai / AccAltProj_for_RPCA
  Accelerated Alternating Projections for Robust Principal Component Analysis
  ☆20Updated 2 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 9 years ago
• andrewssobral / TDALAB
  A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis
  ☆20Updated 7 years ago
• hiroyuki-kasai / SparseGDLibrary
  MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
  ☆52Updated 6 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• bodono / apg
  A lightweight accelerated proximal-gradient package for matlab
  ☆32Updated 8 years ago
• steven2358 / kmbox
  Kernel Methods Toolbox for Matlab/Octave
  ☆51Updated 5 years ago
• mehrhardt / spdhg
  Stochastic PDHG with Arbitrary Sampling and Imaging Applications
  ☆17Updated 5 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆43Updated 10 years ago
• canyilu / tensor-completion-tensor-recovery
  tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization
  ☆27Updated 3 years ago
• basp-group / sopt
  SOPT: Sparse OPTimisation.
  ☆21Updated 7 years ago
• slra / slra
  Software package for Hankel structured low-rank approximation
  ☆34Updated 5 years ago
• jamiezeminzhang / Tensor_Completion_and_Tensor_RPCA
  ☆38Updated 8 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• JeanKossaifi / FISTA
  Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.
  ☆86Updated 6 years ago
• canyilu / Iteratively-Reweighted-Nuclear-Norm-Minimization
  Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
  ☆24Updated 3 years ago
• andrewssobral / tensor_toolbox
  MATLAB Tensor Toolbox (by Tamara Kolda)
  ☆39Updated 8 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆26Updated 7 years ago
• EvanZhuang / MRI-Reconstruction-with-Sparse-Optimization
  Magnetic resonance imaging (MRI) images are known to be sparse. This is an implementation using non-convex penalty function that encourag…
  ☆19Updated 5 years ago
• OsmanMalik / tucker-tensorsketch
  Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"
  ☆25Updated last year
• mpf / spgl1
  A solver for large-scale sparse least squares
  ☆110Updated 4 years ago
• kgilman / TOUCAN
  Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra
  ☆9Updated 4 years ago
• andrewssobral / imtsl
  IMTSL - Incremental and Multi-feature Tensor Subspace Learning
  ☆35Updated 3 years ago
• liujl11git / multilevelOT
  MATLAB codes for multilevel optimal transport
  ☆25Updated 5 years ago