Alternatives and similar repositories for ManPG

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

• MatOpt / SuiteLasso
  SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers
  ☆23Updated 4 years ago
• yuanlonghao / TRLRF
  Tensor ring low-rank factors (AAAI 2019)
  ☆38Updated 7 years ago
• yuanlonghao / T3C_tensor_completion
  tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.
  ☆12Updated 7 years ago
• canyilu / tensor-completion-tensor-recovery
  tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization
  ☆31Updated 4 years ago
• xiao-li-hub / Riemannian-subgradient-methods
  This package implements Riemannian subgradient methods for solving nonsmooth optimization problems over Stiefel manifold
  ☆10Updated 5 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
• optsuite / OptM
  A feasible method for optimization with orthogonality constraints
  ☆42Updated 4 years ago
• canyilu / Tensor-tensor-product-toolbox
  tensor-tensor product toolbox
  ☆91Updated 4 years ago
• mingyan08 / ProxL1-L2
  The source codes for the paper "Fast l1-l2 minimization via a proximal operator”
  ☆25Updated 5 years ago
• zhaoxile / reproducible-tensor-completion-state-of-the-art
  ☆159Updated 4 years ago
• Kaimaoge / Tensor-decomposition-completion-and-recovery-papers-and-codes
  The collection of tensor decomposition, completion and recovery papers and codes.
  ☆55Updated 6 years ago
• ckuemmerle / MatrixIRLS
  Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation
  ☆16Updated 4 years ago
• wotaoyin / LargeScaleBookSlides
  ☆25Updated 3 years ago
• Titan-Tong / ScaledGD
  Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation
  ☆33Updated 4 years ago
• xianchaoxiu / Sparse-Optimization
  ☆16Updated 7 months ago
• madhavcsa / Low-Rank-Tensor-Completion
  A Dual Framework for Low-rank Tensor Completion
  ☆17Updated 6 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
• hiroyuki-kasai / SparseGDLibrary
  MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
  ☆55Updated 7 years ago
• oscarmickelin / tensor-ring-decomposition
  ☆37Updated 4 years ago
• optsuite / ARNT
  Adaptive Regularized Newton Method for Riemannian Optimization
  ☆32Updated 6 years ago
• andrewssobral / mctc4bmi
  Matrix and Tensor Completion for Background Model Initialization
  ☆112Updated 4 years ago
• xueshengke / TNNR
  This is an implementation of Truncated Nuclear Norm Regularization Method.
  ☆22Updated 8 years ago
• hiroyuki-kasai / SGDLibrary
  MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
  ☆225Updated 2 years ago
• canyilu / Iteratively-Reweighted-Nuclear-Norm-Minimization
  Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
  ☆25Updated 4 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆62Updated 10 years ago
• qbzhao / BCPF
  Matlab code of Bayesian CP Factorization for Tensor Completion
  ☆37Updated 9 years ago
• xueshengke / Tensor-TNNR
  ☆20Updated 7 years ago
• Fraunhofer-SCAI / AlgMathML
  Material for the book Algorithmic Mathematics in Machine Learning
  ☆14Updated last year
• 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
• shifwang / Nonconvex_ADMM_Demos
  This includes codes for Alternating Direction Method of Multipliers (ADMM) on several interesting applications, such as Lq basis pursuit,…
  ☆21Updated 10 years ago