Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Parallel computing with task scheduling

A simple shallow water equation simulation in MATLAB.

A Direct Solver for Elliptic Partial Differential Equations on a Forest of Quadtree Meshes

A research implementation of RS-S and RS-WS from Minden et al., "A recursive skeletonization factorization based on strong admissibility".

Implementation of Hessian-averaged Newton methods for stochastic optimization in jax

Interoperability with Gmsh for Python

A Python wrapper around Metis, a graph partitioning package

The ultraspherical spectral element method

Numerical examples from 'Greedy inference with structure-exploiting lazy maps'

Continuously schedule iMessage or SMS texts with file attachments from your Mac and iPhone.

Distributed multigrid linear solver library on GPU

GPU accelerated multigrid library for Python

A fast direct solver for surface PDEs

Stochastic Optimization under Uncertainty in Python.

Mirror of https://gitlab.com/petsc/petsc

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 thre…

Implementations of various misfit functions in seismic literature

A Python based programming system for heterogeneous computing

Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

Quad/octree building for FMMs in Python and OpenCL

TAMES website

Prototyping of matrix free Newton methods in Julia

Dimension reduced surrogate construction for parametric PDE maps

Hessian-based stochastic optimization in TensorFlow and keras