Alternatives and similar repositories for aa

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

• gpeyre / 2017-ot-beginners
  Optimal Transport for Dummies - Code, slides and article
  ☆33Updated 8 years ago
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆189Updated last year
• cvxgrp / a2dr
  Anderson accelerated Douglas-Rachford splitting
  ☆29Updated 5 years ago
• IvanYashchuk / jax-fenics-adjoint
  Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
  ☆107Updated 2 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 9 years ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆58Updated 4 years ago
• stephenbeckr / convex-optimization-class
  APPM 5630 at CU Boulder
  ☆52Updated 5 months ago
• chebpy / chebpy
  A Python implementation of Chebfun
  ☆148Updated this week
• PythonOptimizers / pykrylov
  A library of Krylov methods in pure Python
  ☆64Updated 3 years ago
• mitmath / 18303
  18.303 - Linear PDEs course
  ☆147Updated 2 years ago
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆114Updated last week
• cvxgrp / nonexp_global_aa1
  Globally Convergent Type-I Anderson Acceleration for Non-Smooth Fixed-Point Iterations
  ☆21Updated 7 years ago
• mfouesneau / sparsegrid
  Smolyak sparse grid interpolation sandbox
  ☆24Updated 2 years ago
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆57Updated 2 years ago
• gowerrobert / StochOpt.jl
  A suite of stochastic optimization methods for solving the empirical risk minimization problem.
  ☆17Updated 6 years ago
• goroda / Compressed-Continuous-Computation
  Library for computing with multidimensional functions
  ☆54Updated 2 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• alpyurtsever / SketchyCGAL
  MATLAB implementation of the Scalable Semidefinite Programming
  ☆25Updated last year
• cvxgrp / proximal
  Sample implementations of proximal operators
  ☆194Updated 12 years ago
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆10Updated 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.
  ☆16Updated last month
• nlesc-dirac / pytorch
  Improved LBFGS and LBFGS-B optimizers in PyTorch.
  ☆67Updated last year
• klho / FLAM
  Fast linear algebra in MATLAB
  ☆70Updated 2 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆131Updated this week
• cvxgrp / pdos
  Primal-Dual Operator Splitting Method for Conic Optimization
  ☆20Updated 11 years ago
• eigtool / eigtool
  EigTool is open MATLAB software for analyzing eigenvalues, pseudospectra, and related spectral properties of matrices.
  ☆56Updated 10 years ago
• oseledets / TT-Toolbox
  The git repository for the TT-Toolbox
  ☆209Updated 10 months ago
• bodono / scs-python
  Python interface for SCS
  ☆45Updated last week
• svaiter / pyprox
  Proximal algorithms made easy in Python
  ☆59Updated 8 years ago
• mfschubert / sparsejac
  Efficient forward- and reverse-mode sparse Jacobians using Jax
  ☆68Updated last month