DeepPDE-LidDrivenCavityFlow

A differentiable PDE solving framework for machine learning

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

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

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

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

This repository containts materials for End-to-End AI for Science

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

Cloud-first free no-fee no-X uniX-like finite-element(ish) computational engineering tool

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Spectral Element Library in Fortran