Alternatives and similar repositories for tucker-tensorsketch

Users that are interested in tucker-tensorsketch are comparing it to the libraries listed below

• hiroyuki-kasai / OLSTEC
  OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
  ☆38Updated 2 years ago
• oscarmickelin / tensor-ring-decomposition
  ☆36Updated 4 years ago
• canyilu / Tensor-Robust-Principal-Component-Analysis-TRPCA
  Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
  ☆102Updated 4 years ago
• yuanlonghao / TRLRF
  Tensor ring low-rank factors (AAAI 2019)
  ☆37Updated 6 years ago
• andrewssobral / mctc4bmi
  Matrix and Tensor Completion for Background Model Initialization
  ☆111Updated 4 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• xuezc / LRSD-TNNSR
  This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a …
  ☆30Updated 7 years ago
• madhavcsa / Low-Rank-Tensor-Completion
  A Dual Framework for Low-rank Tensor Completion
  ☆17Updated 6 years ago
• LifangHe / NeurIPS18_SURF
  Boosted Sparse and Low-Rank Tensor Regression
  ☆13Updated 6 years ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆88Updated 4 years ago
• nhatpd / iADMM
  iADMM for a low-rank representation optimization problem
  ☆12Updated 4 years ago
• canyilu / Iteratively-Reweighted-Nuclear-Norm-Minimization
  Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
  ☆25Updated 4 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• PotatoThanh / ADMM-NeuralNetworks
  Training Neural Networks Without Gradients: A ADMM Approach
  ☆43Updated 7 years ago
• tbuehler / sparsePCA
  Sparse principal component analysis as a nonlinear eigenproblem
  ☆17Updated 4 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆27Updated 7 years ago
• bodono / apg
  A lightweight accelerated proximal-gradient package for matlab
  ☆33Updated 9 years ago
• qbzhao / BCPF
  Matlab code of Bayesian CP Factorization for Tensor Completion
  ☆35Updated 9 years ago
• tiepvupsu / DICTOL
  DICTOL - A Dictionary Learning Toolbox in Matlab and Python
  ☆193Updated 4 years ago
• kgilman / TOUCAN
  Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra
  ☆11Updated 5 years ago
• canyilu / tensor-completion-tensor-recovery
  tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization
  ☆30Updated 4 years ago
• canyilu / Tensor-tensor-product-toolbox
  tensor-tensor product toolbox
  ☆86Updated 4 years ago
• steverab / tensor-gmm
  Implementation of learning a Gaussian mixture model using tensor decomposition.
  ☆15Updated 8 years ago
• minhnhat93 / lfa_sc
  Matlab implementation of the paper "Learning fast approximations of sparse coding"
  ☆31Updated 9 years ago
• qbzhao / BRTF
  Matlab Code of Bayesian Robust Tensor Factorization
  ☆11Updated 9 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• JHUVisionLab / SSC-using-ADMM
  Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…
  ☆44Updated 8 years ago
• epfl-lts2 / unlocbox
  A Matlab convex optimization toolbox using proximal splitting methods
  ☆53Updated last year
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago