Popular GitHub Repositories for Partial Differential Equations

Learning in infinite dimension with neural operators.

Graph Neural PDEs

18.S096 - Applications of Scientific Machine Learning

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

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations

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

Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.

A Physics-Informed Neural Network to solve 2D steady-state heat equations.

Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

Level set segmentation with machine learning based velocity field

FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries

DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations

PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.

Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks

On the Limitations of Physics-informed Deep Learning: Illustrations Using First Order Hyperbolic Conservation Law-based Traffic Flow Models

Official repository for the "Multiple wavefield solutions in physics-informed neural networks using latent representation" paper.