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

ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics

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

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

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

This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation (IEEE TPAMI 2025)

#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?"

Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces" (SIREV SIGEST 2024, SISC 2021)