Alternatives and similar repositories for gspbox:

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

• GraSP-toolbox / GraSP
  GraSP: a Graph Signal Processing toolbox for Matlab
  ☆35Updated 3 years ago
• epfl-lts2 / pygsp
  Graph Signal Processing in Python
  ☆490Updated 3 years ago
• balcilar / Graph_Signal_Processing
  Signal Processing on non-euclidien domain signals
  ☆29Updated 5 years ago
• epfl-lts2 / unlocbox
  A Matlab convex optimization toolbox using proximal splitting methods
  ☆53Updated last year
• STAC-USC / Graph_Learning
  Graph Learning from Data
  ☆35Updated 5 years ago
• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆73Updated 5 years ago
• mdbartos / graph-signals
  🕸 Implementations of graph signal processing techniques from "The emerging field of signal processing on graphs" (2013)
  ☆31Updated 6 years ago
• hiroyuki-kasai / OLSTEC
  OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
  ☆36Updated 2 years ago
• aweinstein / PySGWT
  Spectral Graph Wavelet Transform
  ☆40Updated 5 years ago
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆86Updated 3 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆61Updated 9 years ago
• hiroyuki-kasai / NMFLibrary
  NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
  ☆318Updated last year
• qbzhao / BCPF
  Matlab code of Bayesian CP Factorization for Tensor Completion
  ☆34Updated 8 years ago
• alelab-upenn / graph-scattering-transforms
  Code for experimentation on graph scattering transforms
  ☆27Updated 5 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆43Updated 10 years ago
• ivanbrugere / matlab-networks-toolbox
  A set of graph/networks analysis functions in Octave. This fork focuses on MATLAB compatibility.
  ☆47Updated 10 years ago
• canyilu / Tensor-Robust-Principal-Component-Analysis-TRPCA
  Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
  ☆93Updated 3 years ago
• andrewssobral / mctc4bmi
  Matrix and Tensor Completion for Background Model Initialization
  ☆107Updated 3 years ago
• rodrigo-pena / graph-learning
  ☆14Updated 7 years ago
• OsmanMalik / tucker-tensorsketch
  Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"
  ☆25Updated last year
• canyilu / Iteratively-Reweighted-Nuclear-Norm-Minimization
  Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
  ☆24Updated 3 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• gpeyre / 2016-ICML-gromov-wasserstein
  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.
  ☆73Updated 8 years ago
• canyilu / Tensor-tensor-product-toolbox
  tensor-tensor product toolbox
  ☆79Updated 3 years ago
• hiroyuki-kasai / SparseGDLibrary
  MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
  ☆53Updated 6 years ago
• andrewssobral / TDALAB
  A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis
  ☆20Updated 6 years ago
• ImKeTT / Low-rank_Matrix-completion
  [Tool] Low rank matrix recovery by minimizing matrix norm
  ☆46Updated 4 years ago
• Kaimaoge / Tensor-decomposition-completion-and-recovery-papers-and-codes
  The collection of tensor decomposition, completion and recovery papers and codes.
  ☆49Updated 5 years ago
• alphacsc / alphacsc
  Convolution dictionary learning for time-series
  ☆122Updated this week
• JHUVisionLab / SSC-using-ADMM
  Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…
  ☆42Updated 8 years ago