pde-solver

A differentiable PDE solving framework for machine learning

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

A flexible framework for solving PDEs with modern spectral methods.

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

Investigating PINNs

2D-Finite Element Analysis with Python

开源Go语言数值算法库(An open numerical library purely based on Go programming language)

PyClaw is a Python-based interface to the algorithms of Clawpack and SharpClaw. It also contains the PetClaw package, which adds parallelism through PETSc.

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop

Configurable ODE/PDE solver

Deep learning library for solving differential equations on top of PyTorch.

Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation

2D orthogonal elliptic mesh generator which solves the Winslow partial differential equations

Spectral Element Library in Fortran

Solving Schrodinger Equation Numerically

Computational Fluid Dynamics Solver

Multi-physics Object-oriented Reconfigurable Fluid Environment for Unified Simulations

C++/CUDA implementation of the most popular hyperbolic and parabolic PDE solvers

This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495