Linear operators for discretizations of differential equations and scientific machine learning (SciML)

ExaDG - High-Order Discontinuous Galerkin for the Exa-Scale

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

PyTorch implementation of the Hessian-free optimizer

MFMG is an open-source library implementing matrix-free multigrid methods.

Jeremy L Thompson PhD dissertation

C++, R and Python package for the Synthetic MR imaging program symr. For the R and python programs, see the R and python branches respectively.

A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000218

Iterative matrix-free eigensolver (Davidson-Liu algorithm) with ndarray

Matrix-free implementation of accelerated projected gradient descent for large-scale non-negative least-squares problems.

Practical session on implementing probabilistic linear solvers at the Probabilistic Numerics Spring School 2024