Alternatives and similar repositories for TOUCAN

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

• oscarmickelin / tensor-ring-decomposition
  ☆37Updated 4 years ago
• hiroyuki-kasai / OLSTEC
  OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
  ☆38Updated 3 years ago
• yuanlonghao / TRLRF
  Tensor ring low-rank factors (AAAI 2019)
  ☆39Updated 7 years ago
• madhavcsa / Low-Rank-Tensor-Completion
  A Dual Framework for Low-rank Tensor Completion
  ☆17Updated 6 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆27Updated 8 years ago
• chenshixiang / ManPG
  MATLAB implementation of ManPG
  ☆13Updated 3 years ago
• canyilu / Tensor-Robust-Principal-Component-Analysis-TRPCA
  Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
  ☆107Updated 4 years ago
• nhatpd / iADMM
  iADMM for a low-rank representation optimization problem
  ☆13Updated 5 years ago
• canyilu / tensor-completion-tensor-recovery
  tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization
  ☆31Updated 4 years ago
• yuanlonghao / T3C_tensor_completion
  tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.
  ☆12Updated 7 years ago
• ckuemmerle / MatrixIRLS
  Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation
  ☆17Updated 4 years ago
• qbzhao / BRTF
  Matlab Code of Bayesian Robust Tensor Factorization
  ☆11Updated 9 years ago
• qbzhao / BCPF
  Matlab code of Bayesian CP Factorization for Tensor Completion
  ☆37Updated 9 years ago
• zhigao2017 / Learning-to-optimize-on-SPD-manifolds
  code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"
  ☆13Updated 5 years ago
• canyilu / Tensor-tensor-product-toolbox
  tensor-tensor product toolbox
  ☆91Updated 4 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 3 years ago
• OsmanMalik / tucker-tensorsketch
  Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"
  ☆25Updated 2 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 11 years ago
• andrewssobral / mctc4bmi
  Matrix and Tensor Completion for Background Model Initialization
  ☆112Updated 4 years ago
• steverab / tensor-gmm
  Implementation of learning a Gaussian mixture model using tensor decomposition.
  ☆15Updated 8 years ago
• LifangHe / NeurIPS18_SURF
  Boosted Sparse and Low-Rank Tensor Regression
  ☆14Updated 6 years ago
• ImKeTT / Low-rank_Matrix-completion
  [Tool] Low rank matrix recovery by minimizing matrix norm
  ☆47Updated 5 years ago
• ToshikiShawn / Tensor_RPCA
  Tensor Robust Principal Component Analysis via t-SVD
  ☆14Updated 7 years ago
• caesarcai / LRPCA
  Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
  ☆31Updated 3 years ago
• HuyanHuang / Robust-Low-rank-Tensor-Ring-Completion
  This project aims to realize the robust tensor completion algorithms via tensor ring decomposition.
  ☆15Updated 4 years ago
• andrewssobral / tensor_toolbox
  MATLAB Tensor Toolbox (by Tamara Kolda)
  ☆40Updated 9 years ago
• mingyan08 / ProxL1-L2
  The source codes for the paper "Fast l1-l2 minimization via a proximal operator”
  ☆25Updated 5 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆39Updated last year
• tomMoral / adopty
  ☆19Updated 6 years ago
• canyilu / Iteratively-Reweighted-Nuclear-Norm-Minimization
  Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
  ☆25Updated 4 years ago