neural-operators

Learning in infinite dimension with neural operators.

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Physics-Informed Neural networks for Advanced modeling

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

A Library for Advanced Neural PDE Solvers.

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

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

Bridging Neural Operators and Numerical Methods

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

Final projects for 401-4656-21L AI in Sciences and Engineering @ ETHz. Includes implementation of Fourier Neural Operator (FNO) with time dependency, data-driven symbolic regression with PDE-Find and foundation model based on FNO for phase-field dynamics

Physics-Enhanced Machine Learning