pise-limit-lwr

Learning in infinite dimension with neural operators.

Code accompanying my blog post: So, what is a physics-informed neural network?

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

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

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.

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

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