neural-operator

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#A library for Koopman Neural Operator with Pytorch.

#计算机科学#This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Automatic Functional Differentiation in JAX

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics

Codomain attention neural operator for single to multi-physics PDE adaptation.

No need to train, he's a smooth operator

Datasets and code for results presented in the BOON paper

Official implementation of Scalable Transformer for PDE surrogate modelling

Neural Operator-Assisted Computational Fluid Dynamics in PyTorch

#计算机科学#A multiphase multiphysics dataset and benchmarks for scientific machine learning

This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation

An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.

#计算机科学#Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

Official implementation of the NeurIPS 23 spotlight paper of ♾️InfGCN♾️.

This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physical mechanisms, National Science Review, 2024

#计算机科学#Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"

The first global synthetic dataset for physics-ML seismic wavefield modeling and full-waveform inversion