Alternatives and similar repositories for manopt:

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

• pymanopt / pymanopt
  Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
  ☆802Updated 3 months ago
• sqlp / sedumi
  SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave
  ☆248Updated 11 months ago
• losangle / Optimization-on-manifolds-with-extra-constraints
  The code for the paper <Simple algorithms for optimization on Riemannian manifolds with extra constraints>
  ☆19Updated 6 years ago
• whuang08 / ROPTLIB
  ROPTLIB: Riemannian Manifold Optimization Library
  ☆72Updated 4 years ago
• bgranzow / L-BFGS-B
  A pure Matlab implementation of L-BFGS-B (LBFGSB)
  ☆60Updated 6 months ago
• cvxgrp / proximal
  Sample implementations of proximal operators
  ☆188Updated 11 years ago
• oxfordcontrol / CDCS
  An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.
  ☆63Updated 5 years ago
• clarkzinzow / Nonlinear-Optimization-Algorithms
  MATLAB implementations of a variety of nonlinear programming algorithms.
  ☆167Updated 4 years ago
• cvxr / CVX
  A MATLAB system for disciplined convex programming
  ☆264Updated 10 months ago
• cvxgrp / scs
  Splitting Conic Solver
  ☆568Updated last week
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆242Updated 3 years ago
• cvxgrp / qcqp
  A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework
  ☆113Updated 4 years ago
• optimaltransport / optimaltransport.github.io
  Web site of the Computational Optimal Transport book
  ☆359Updated 2 years ago
• MIT-SPARK / STRIDE
  Solver for Large-Scale Rank-One Semidefinite Relaxations
  ☆68Updated 2 years ago
• slra / slra
  Software package for Hankel structured low-rank approximation
  ☆34Updated 6 years ago
• PerformanceEstimation / Performance-Estimation-Toolbox
  Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…
  ☆54Updated last year
• EEA-sensors / Bayesian-Filtering-and-Smoothing
  Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson
  ☆68Updated last year
• hiroyuki-kasai / GDLibrary
  Matlab library for gradient descent algorithms: Version 1.0.1
  ☆68Updated 6 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated 2 years ago
• cvxr / TFOCS
  A MATLAB toolbox for building first-order solvers for convex models.
  ☆139Updated 2 years ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆339Updated last year
• tminka / lightspeed
  lightspeed matlab toolbox
  ☆132Updated 3 years ago
• optsuite / ARNT
  Adaptive Regularized Newton Method for Riemannian Optimization
  ☆30Updated 5 years ago
• hiroyuki-kasai / SGDLibrary
  MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
  ☆225Updated last year
• wotaoyin / LargeScaleBookSlides
  ☆23Updated 2 years ago
• jkaardal / pyipm
  An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
  ☆80Updated 3 years ago
• bernhard-schmitzer / optimal-transport
  A collection of adaptive sparse multi-scale solvers for optimal transport and related optimization problems.
  ☆53Updated 3 years ago
• cvxgrp / torch_linops
  A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.
  ☆12Updated last month
• sqlp / sdpt3
  SDPT3: MATLAB/Octave software for semidefinite-quadratic-linear programming
  ☆108Updated 11 months ago
• AaltoML / SDE
  Example codes for the book Applied Stochastic Differential Equations
  ☆188Updated 3 years ago