Alternatives and similar repositories for OptM

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

• chenshixiang / ManPG
  MATLAB implementation of ManPG
  ☆13Updated 3 years ago
• MatOpt / SuiteLasso
  SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers
  ☆23Updated 4 years ago
• yuanlonghao / T3C_tensor_completion
  tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.
  ☆11Updated 7 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
• wotaoyin / LargeScaleBookSlides
  ☆25Updated 3 years ago
• canyilu / Tensor-tensor-product-toolbox
  tensor-tensor product toolbox
  ☆89Updated 4 years ago
• hiroyuki-kasai / SGDLibrary
  MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
  ☆224Updated 2 years ago
• optsuite / ARNT
  Adaptive Regularized Newton Method for Riemannian Optimization
  ☆32Updated 6 years ago
• yuanlonghao / TRLRF
  Tensor ring low-rank factors (AAAI 2019)
  ☆38Updated 7 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆62Updated 10 years ago
• mingyan08 / ProxL1-L2
  The source codes for the paper "Fast l1-l2 minimization via a proximal operator”
  ☆25Updated 5 years ago
• oscarmickelin / tensor-ring-decomposition
  ☆37Updated 4 years ago
• hiroyuki-kasai / SparseGDLibrary
  MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
  ☆55Updated 7 years ago
• zhaoxile / reproducible-tensor-completion-state-of-the-art
  ☆159Updated 4 years ago
• Fraunhofer-SCAI / AlgMathML
  Material for the book Algorithmic Mathematics in Machine Learning
  ☆13Updated last year
• canyilu / tensor-completion-tensor-recovery
  tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization
  ☆30Updated 4 years ago
• opt-gaobin / spopt
  Riemannian optimization on the symplectic Stiefel manifold
  ☆12Updated 3 years ago
• Titan-Tong / ScaledGD
  Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation
  ☆32Updated 4 years ago
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆135Updated 2 years ago
• andrewssobral / mctc4bmi
  Matrix and Tensor Completion for Background Model Initialization
  ☆112Updated 4 years ago
• ckuemmerle / MatrixIRLS
  Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation
  ☆16Updated 4 years ago
• Matrix-Benchmarks / Low-Rank-Completion
  Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation
  ☆12Updated 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
• XuFengthucs / fSVT
  fast randomized SVD and its application to SVT algorithm
  ☆26Updated 2 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• canyilu / LibADMM-toolbox
  A Library of ADMM for Sparse and Low-rank Optimization
  ☆392Updated 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
• brucejunlee / RMT_Theory_Applications
  some important properties on random matrix theory and its applications in multiple areas
  ☆110Updated 7 years ago
• hiroyuki-kasai / GDLibrary
  Matlab library for gradient descent algorithms: Version 1.0.1
  ☆68Updated 7 years ago
• ahmedaq / Making-elegant-Matlab-figures
  A repository comprising multiple functions for making elegant publication-quality figures in MATLAB
  ☆51Updated 6 years ago