neural-operator

Koopman-Laboratory/KoopmanLab

A library for Koopman Neural Operator with Pytorch.

camlab-ethz/ConvolutionalNeuralOperator

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

sail-sg/autofd

Automatic Functional Differentiation in JAX

ashiq24/UNO

YichengDWu/Sophon.jl

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

MinkaiXu/EGNO

ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics

neuraloperator/CoDA-NO

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

amazon-science/boon

Datasets and code for results presented in the BOON paper

SciML/OperatorLearning.jl

No need to train, he's a smooth operator

BaratiLab/FactFormer

Official implementation of Scalable Transformer for PDE surrogate modelling

scaomath/torch-cfd

Neural Operator-Assisted Computational Fluid Dynamics in PyTorch

HPCForge/BubbleML

A multiphase multiphysics dataset and benchmarks for scientific machine learning

nickhnelsen/fourier-neural-mappings

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

optray/MCNP

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

tomoleary/dino

Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning

ccr-cheng/InfGCN-pytorch

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

optray/PIANO

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

Axect/Neural_Hamilton

Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"

lishiqianhugh/GlobalTomo

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

nickhnelsen/random-features-banach

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

JakobEliasWagner/NeuralOperators

Neural Operators with Applications to the Helmholtz Equation

vsingh-group/oinr

Code for ICML 24 paper "Implicit Representations via Operator Learning"

nickhnelsen/error-bounds-for-vvRF

Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features'' (NeurIPS 2023, Spotlight)

NicolaiLassen/no-pytorch

Implementation of neural operator papers in PyTorch for easier usage. Achieve SOTA in PDE prediction.

hanfengzhai/FNO-Elasticity

Using FNO to learning elasticity model of composite materials

Harandi-Ali/SPiFOL

Spectral Physics-informed Finite Operator Learning

thomasXwang/flame-ai-challenge

Submission to the Stanford FLAME AI 2023 - ML Challenge

TheoBourdais/ModelAggregation

Official repository for the model aggregation paper

Axect/Pomelo

Positron's Milky Way Energy Loss using Operator learning