Alternatives and similar repositories for geotensor

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

• canyilu / Tensor-Robust-Principal-Component-Analysis-TRPCA
  Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
  ☆107Updated 4 years ago
• canyilu / tensor-completion-tensor-recovery
  tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization
  ☆30Updated 4 years ago
• zhaoxile / reproducible-tensor-completion-state-of-the-art
  ☆158Updated 4 years ago
• XieQi2015 / KBR-TC-and-RPCA
  code of KBR_TC and KBR_RPCA
  ☆10Updated 8 years ago
• HlG4399 / FRSVT
  I implemented the fllowing article by Matlab.Refrence:Oh T H, Matsushita Y, Tai Y W, et al. Fast Randomized Singular Value Thresholding f…
  ☆30Updated 7 years ago
• xueshengke / Tensor-TNNR
  ☆20Updated 6 years ago
• madhavcsa / Low-Rank-Tensor-Completion
  A Dual Framework for Low-rank Tensor Completion
  ☆17Updated 6 years ago
• jamiezeminzhang / Tensor_Completion_and_Tensor_RPCA
  ☆38Updated 9 years ago
• qbzhao / BCPF
  Matlab code of Bayesian CP Factorization for Tensor Completion
  ☆35Updated 9 years ago
• prolulu / Tensor-Completion-for-Estimating-Missing-Values-in-Visual-Data
  Tensor Completion by Python and Numba
  ☆25Updated 4 years ago
• FarshadGVeshki / Convolutional-Sparse-Coding
  Efficient ADMM-based Algorithms for Convolutional Sparse Coding
  ☆15Updated 3 years ago
• Phoenix-V / tensor-admm-net-sci
  Dataset with processing code
  ☆44Updated 6 years ago
• wanghailin97 / Guaranteed-Tensor-Recovery-Fused-Low-rankness-and-Smoothness
  The released code of t-CTV algorithms, mainly proposed in the paper "Guaranteed Tensor Recovery Fused Low-rankness and Smoothness"， publ…
  ☆33Updated 6 months ago
• yuanlonghao / TRLRF
  Tensor ring low-rank factors (AAAI 2019)
  ☆38Updated 7 years ago
• zhaoxile / Low-rank-tensor-train-for-tensor-robust-principal-component-analysis
  code of low-rank tensor train for tensor robust principal component analysis
  ☆15Updated 5 years ago
• simonvary / lrps-recovery
  Code for recovery of low-rank plus sparse matrices
  ☆11Updated last year
• xueshengke / TNNR
  This is an implementation of Truncated Nuclear Norm Regularization Method.
  ☆22Updated 8 years ago
• quanmingyao / FasTer
  Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.
  ☆16Updated 6 years ago
• canyilu / Iteratively-Reweighted-Nuclear-Norm-Minimization
  Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
  ☆25Updated 4 years ago
• chenlongxiabc / IRTPCAcode
  The matlab code is for the paper ''Improved Robust Tensor Principal Component Analysis via Low Rank Core Matrix''.
  ☆15Updated 7 years ago
• Vandermode / TFPnP
  Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
  ☆91Updated last year
• andrewssobral / mctc4bmi
  Matrix and Tensor Completion for Background Model Initialization
  ☆112Updated 4 years ago
• VITA-Group / ALISTA
  [ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Y…
  ☆77Updated 3 years ago
• meyerscetbon / Deep-K-SVD
  ☆73Updated 2 years ago
• caesarcai / LRPCA
  Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
  ☆31Updated 3 years ago
• wukailun / GLISTA
  source code of GLISTA
  ☆23Updated 5 years ago
• ToshikiShawn / Tensor_RPCA
  Tensor Robust Principal Component Analysis via t-SVD
  ☆14Updated 7 years ago
• zspCoder / DTLP
  Tensorflow code of CVPR 2021 paper "Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction"
  ☆18Updated 4 years ago
• zs-zhong / D-LADMM
  The code for Differentiable Linearized ADMM (ICML 2019)
  ☆36Updated 6 years ago
• ImKeTT / Low-rank_Matrix-completion
  [Tool] Low rank matrix recovery by minimizing matrix norm
  ☆46Updated 5 years ago