Light weight solver for the Lippmann-Schwinger equation

Learning incomplete factorization preconditioners using graph neural networks

Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

This repository contains code, which was used to generate large-scale results in the HINTS paper.

Skin changer for League of Legends (LOL)

Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces"

使用Android原生开发的电视直播软件

😎 Curated list of awesome software for numerical analysis and scientific computing

Python code to reproduce the results in our reduced order statFEM paper.

Automated Local Fourier Analysis

About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.10565

Netgen/NGSolve is a high performance multiphysics finite element software. It is widely used to analyze models from solid mechanics, fluid dynamics and electromagnetics. Due to its flexible Python…

Offical repository for UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs (ICML 2024)

Neural Empirical Interpolation Method

free finite-difference time-domain (FDTD) software for electromagnetic simulations

MIT Photonic-Bands: computation of photonic band structures in periodic media

Neural Operators with Applications to the Helmholtz Equation

PyTorch implementations of Learning Mesh-based Simulation With Graph Networks

MATLAB/Octave comparison of two FFT fast Poisson solvers for homogeneous Dirichlet BCs on the square

This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia.

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

A Julia tutorial for people already familiar with technical computing (in applied mathematics)

Fast solver for high frequency scattering problems in 2-dimensions.