Alternatives and similar repositories for Riemannian-subgradient-methods

Users that are interested in Riemannian-subgradient-methods are comparing it to the libraries listed below

• chenshixiang / ManPG
  MATLAB implementation of ManPG
  ☆13Updated 3 years ago
• Fraunhofer-SCAI / AlgMathML
  Material for the book Algorithmic Mathematics in Machine Learning
  ☆13Updated last year
• optsuite / OptM
  A feasible method for optimization with orthogonality constraints
  ☆40Updated 4 years ago
• MatOpt / SuiteLasso
  SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers
  ☆22Updated 4 years ago
• wotaoyin / LargeScaleBookSlides
  ☆25Updated 2 years ago
• ckuemmerle / MatrixIRLS
  Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation
  ☆16Updated 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
• mingyan08 / ProxL1-L2
  The source codes for the paper "Fast l1-l2 minimization via a proximal operator”
  ☆25Updated 5 years ago
• hiroyuki-kasai / SGDLibrary
  MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
  ☆224Updated 2 years ago
• opt-gaobin / spopt
  Riemannian optimization on the symplectic Stiefel manifold
  ☆12Updated 2 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 9 years ago
• hiroyuki-kasai / GDLibrary
  Matlab library for gradient descent algorithms: Version 1.0.1
  ☆67Updated 7 years ago
• Titan-Tong / ScaledGD
  Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation
  ☆32Updated 4 years ago
• optsuite / ARNT
  Adaptive Regularized Newton Method for Riemannian Optimization
  ☆31Updated 6 years ago
• FWen / ncreg
  A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
  ☆38Updated 5 years ago
• thomaslundgaard / fast-ast
  FastAST - A fast primal-dual interior point method for line spectral estimation via atomic norm soft thresholding.
  ☆30Updated 2 years ago
• canyilu / Tensor-tensor-product-toolbox
  tensor-tensor product toolbox
  ☆87Updated 4 years ago
• bodono / apg
  A lightweight accelerated proximal-gradient package for matlab
  ☆34Updated 9 years ago
• EthanLan / BCNN
  Bayesian Convolutional Neural Networks for Compressed Sensing Restoration
  ☆19Updated 7 years ago
• diaoenmao / Belief-Propagation
  Implementation of Generalized Belief Propagation and Convergence Rate Analysis
  ☆11Updated 7 years ago
• parthe / VAMP
  Vector Approximate Message Passing (VAMP)
  ☆11Updated 2 years ago
• dl-book / dl-book
  Scripts and library for the "Dictionary Learning Algorithms and Applications" book.
  ☆25Updated 7 years ago
• joaofcmota / cs-with-prior-information
  This repository provides a Matlab implementation of the ADMM-based solvers for L1-L1 and L1-L2 minimization.
  ☆17Updated 7 years ago
• YuLi2022 / FrankWolfe-and-GradientProjection-Method
  Frank-Wolfe算法和梯度投影法MATLAB实现
  ☆15Updated 3 years ago
• hiroyuki-kasai / SparseGDLibrary
  MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
  ☆55Updated 6 years ago
• DylanMuir / fmin_adam
  Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
  ☆58Updated 8 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆63Updated 9 years ago
• canyilu / LibADMM-toolbox
  A Library of ADMM for Sparse and Low-rank Optimization
  ☆382Updated 4 years ago
• yuanlonghao / TRLRF
  Tensor ring low-rank factors (AAAI 2019)
  ☆38Updated 6 years ago
• caesarcai / ASAP-Hankel
  Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery
  ☆15Updated last year