Alternatives and similar repositories for ManPG

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

• yuanlonghao / T3C_tensor_completion
  tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.
  ☆11Updated 7 years ago
• optsuite / OptM
  A feasible method for optimization with orthogonality constraints
  ☆41Updated 4 years ago
• MatOpt / SuiteLasso
  SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers
  ☆21Updated 3 years ago
• yuanlonghao / TRLRF
  Tensor ring low-rank factors (AAAI 2019)
  ☆37Updated 6 years ago
• Titan-Tong / ScaledGD
  Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation
  ☆29Updated 4 years ago
• Fraunhofer-SCAI / AlgMathML
  Material for the book Algorithmic Mathematics in Machine Learning
  ☆11Updated 10 months ago
• mingyan08 / ProxL1-L2
  The source codes for the paper "Fast l1-l2 minimization via a proximal operator”
  ☆25Updated 4 years ago
• ckuemmerle / MatrixIRLS
  Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation
  ☆16Updated 4 years ago
• canyilu / Tensor-tensor-product-toolbox
  tensor-tensor product toolbox
  ☆86Updated 4 years ago
• canyilu / tensor-completion-tensor-recovery
  tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization
  ☆30Updated 4 years ago
• hiroyuki-kasai / SGDLibrary
  MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
  ☆224Updated 2 years ago
• Kaimaoge / Tensor-decomposition-completion-and-recovery-papers-and-codes
  The collection of tensor decomposition, completion and recovery papers and codes.
  ☆52Updated 5 years ago
• wotaoyin / LargeScaleBookSlides
  ☆25Updated 2 years ago
• hiroyuki-kasai / SparseGDLibrary
  MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
  ☆55Updated 6 years ago
• andrewssobral / mctc4bmi
  Matrix and Tensor Completion for Background Model Initialization
  ☆111Updated 4 years ago
• canyilu / Tensor-Robust-Principal-Component-Analysis-TRPCA
  Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
  ☆102Updated 4 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆63Updated 9 years ago
• oscarmickelin / tensor-ring-decomposition
  ☆36Updated 4 years ago
• optsuite / ARNT
  Adaptive Regularized Newton Method for Riemannian Optimization
  ☆30Updated 5 years ago
• xianchaoxiu / Sparse-Optimization
  ☆11Updated 2 months 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 9 years ago
• canyilu / LibADMM-toolbox
  A Library of ADMM for Sparse and Low-rank Optimization
  ☆373Updated 4 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• madhavcsa / Low-Rank-Tensor-Completion
  A Dual Framework for Low-rank Tensor Completion
  ☆17Updated 6 years ago
• bentoayr / ADMM-tutorial
  ☆33Updated 2 years ago
• canyilu / Iteratively-Reweighted-Nuclear-Norm-Minimization
  Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
  ☆25Updated 4 years ago
• hiroyuki-kasai / OLSTEC
  OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
  ☆38Updated 2 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
• opt-gaobin / spopt
  Riemannian optimization on the symplectic Stiefel manifold
  ☆13Updated 2 years ago