Learning in infinite dimension with neural operators.
翻译 - 使用傅立叶变换学习微分方程中的算子。
#计算机科学#PDEBench: An Extensive Benchmark for Scientific Machine Learning
#计算机科学#Physics-Informed Neural networks for Advanced modeling
#计算机科学#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."
[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
#计算机科学#Implementation of Fourier Neural Operator from scratch
#计算机科学#[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 ...