annayesy's Stars
NVIDIA/AMGX
Distributed multigrid linear solver library on GPU
petsc/petsc
Mirror of https://gitlab.com/petsc/petsc
inducer/pymetis
A Python wrapper around Metis, a graph partitioning package
flatironinstitute/FMM3D
Flatiron Institute Fast Multipole Libraries --- This codebase is a set of libraries to compute N-body interactions governed by the Laplace and Helmholtz equations, to a specified precision, in three dimensions, on a multi-core shared-memory machine.
inducer/boxtree
Quad/octree building for FMMs in Python and OpenCL
shwina/pyamgx
GPU accelerated multigrid library for Python
hippylib/hippyflow
Dimension reduced surrogate construction for parametric PDE maps
hippylib/soupy
Stochastic Optimization under Uncertainty in Python.
inducer/gmsh_interop
Interoperability with Gmsh for Python
danfortunato/ultraSEM
The ultraspherical spectral element method
tomoleary/hessianlearn
Hessian-based stochastic optimization in TensorFlow and keras
ut-parla/Parla.py
A Python based programming system for heterogeneous computing
tomoleary/dino
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
danfortunato/surfacefun
A fast direct solver for surface PDEs
victorminden/strong-skel
A research implementation of RS-S and RS-WS from Minden et al., "A recursive skeletonization factorization based on strong admissibility".
tomoleary/MatrixFreeNewton.jl
Prototyping of matrix free Newton methods in Julia
tmasthay/IslandOfMisfitToys
Implementations of various misfit functions in seismic literature
tmasthay/iTTYL
Continuously schedule iMessage or SMS texts with file attachments from your Mac and iPhone.
michael-c-brennan/lazymaps
Numerical examples from 'Greedy inference with structure-exploiting lazy maps'
tomoleary/hessianaveraging
Implementation of Hessian-averaged Newton methods for stochastic optimization in jax
tomoleary/tames.io
TAMES website