Alternatives and similar repositories for aa

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

• cvxgrp / a2dr
  Anderson accelerated Douglas-Rachford splitting
  ☆29Updated 4 years ago
• gpeyre / 2017-ot-beginners
  Optimal Transport for Dummies - Code, slides and article
  ☆33Updated 8 years ago
• JuliaFirstOrder / ProximalOperators.jl
  Proximal operators for nonsmooth optimization in Julia
  ☆134Updated last year
• cvxgrp / nonexp_global_aa1
  Globally Convergent Type-I Anderson Acceleration for Non-Smooth Fixed-Point Iterations
  ☆21Updated 6 years ago
• gpeyre / 2013-SIIMS-ot-splitting
  N. Papadakis, G. Peyré, E. Oudet. Optimal Transport with Proximal Splitting. SIAM Journal on Imaging Sciences, 7(1), pp. 212–238, 2014.
  ☆11Updated 8 years ago
• alpyurtsever / SketchyCGAL
  MATLAB implementation of the Scalable Semidefinite Programming
  ☆26Updated last year
• felixlen / trlib
  Trust Region Subproblem Solver Library
  ☆20Updated 10 months ago
• nep-pack / NonlinearEigenproblems.jl
  Nonlinear eigenvalue problems in Julia: Iterative methods and benchmarks
  ☆94Updated last year
• JuliaNLSolvers / LineSearches.jl
  Line search methods for optimization and root-finding
  ☆134Updated 2 weeks ago
• JuliaFirstOrder / StructuredOptimization.jl
  Structured optimization in Julia
  ☆73Updated last year
• martinResearch / MatlabAutoDiff
  A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians
  ☆43Updated 3 months ago
• MikaelSlevinsky / FastTransforms
  Fast orthogonal polynomial transforms
  ☆62Updated 9 months ago
• mathurinm / andersoncd
  This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…
  ☆18Updated 2 years ago
• cvxgrp / torch_linops
  A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.
  ☆14Updated 4 months ago
• mariohsouto / ProxSDP.jl
  Semidefinite programming optimization solver
  ☆95Updated last month
• PythonOptimizers / pykrylov
  A library of Krylov methods in pure Python
  ☆63Updated 2 years ago
• JuliaDecisionFocusedLearning / ImplicitDifferentiation.jl
  Automatic differentiation of implicit functions
  ☆131Updated last week
• mfschubert / sparsejac
  Efficient forward- and reverse-mode sparse Jacobians using Jax
  ☆59Updated last week
• JuliaFirstOrder / ProximalAlgorithms.jl
  Proximal algorithms for nonsmooth optimization in Julia
  ☆133Updated last month
• JuliaLinearAlgebra / LowRankApprox.jl
  Fast low-rank matrix approximation in Julia
  ☆119Updated last year
• higham / expmv
  MATLAB codes for matrix exponential times a vector.
  ☆32Updated 5 years ago
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆101Updated 4 months ago
• yig / PySPQR
  Python wrapper for the sparse QR decomposition in SuiteSparseQR.
  ☆36Updated 4 months ago
• bodono / scs-python
  Python interface for SCS
  ☆43Updated this week
• antonior92 / ip-nonlinear-solver
  A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).
  ☆37Updated 7 years ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆54Updated 4 years ago
• eigtool / eigtool
  EigTool is open MATLAB software for analyzing eigenvalues, pseudospectra, and related spectral properties of matrices.
  ☆53Updated 10 years ago
• gowerrobert / StochOpt.jl
  A suite of stochastic optimization methods for solving the empirical risk minimization problem.
  ☆16Updated 5 years ago
• andrenarchy / pseudopy
  PseudoPy computes and visualizes the pseudospectrum of a matrix
  ☆27Updated 6 years ago
• cvxgrp / cone_prog_refine
  Cone program refinement
  ☆10Updated 5 years ago