FOL

Learning in infinite dimension with neural operators.

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

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

A Library for Advanced Neural PDE Solvers.

Learning function operators with neural networks.

[ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values

Rheology-informed Machine Learning Projects

Official implementation of Operator-ProbConserv: OOD UQ for Neural Operators

Implementation of Fourier Neural Operator from scratch

[ICPR 2024] FNOReg: Resolution-Robust Medical Image Registration Method Based on Fourier Neural Operator