luke-a-thompson/ATOM

ATOM: A Pretrained Neural Operator for Multitask Dynamics Learning

Language: Python - Size: 8.18 MB - Last synced at: about 13 hours ago - Pushed at: about 15 hours ago - Stars: 0 - Forks: 0

TSOR666/Physics-Informed-Neural-Operator

A robust 3D Physics-Informed Neural Operator (PINO/FNO) for volumetric fields. Features adaptive spectral convolution, configurable physics validators (Navier-Stokes, Helmholtz), conservation penalties, and production niceties like `torch.compile`, mixed precision, and health monitoring.

Language: Python - Size: 159 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

neuraloperator/neuraloperator

Learning in infinite dimension with neural operators.

Language: Python - Size: 104 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 3,067 - Forks: 758

msakarvadia/operator_aliasing

Studying if/how alising happens when PDE solutions are learned at different discretizations via machine-learned operators.

Language: Jupyter Notebook - Size: 105 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3 - Forks: 0

PhysicsXLtd/DINOZAUR

Official implementation of the NeurIPS 2025 spotlight paper "Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators"

Language: Python - Size: 3.91 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 3 - Forks: 0

NekkittAY/DMD-Neural-Operator

DMD Neural Operator - A neural operator using DMD analysis to approximate the PDEs

Language: Jupyter Notebook - Size: 39 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

sail-sg/autofd

Automatic Functional Differentiation in JAX

Language: Python - Size: 271 KB - Last synced at: 21 days ago - Pushed at: 2 months ago - Stars: 78 - Forks: 1

Axect/Neural_Hamilton

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

Language: Python - Size: 440 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 13 - Forks: 0

scaomath/torch-cfd

[ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch

Language: Python - Size: 65.5 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 62 - Forks: 7

neuraloperator/CoDA-NO

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

Language: Python - Size: 26.6 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 67 - Forks: 10

Quantiphi-INC/XPIDON-Composites

This repository implements an Extended Physics-Informed DeepONet (XPIDON) model for simulating autoclave composite curing processes. It features a nonlinear decoder, subdomain-specific input normalization, and an adaptive and automated domain decomposition strategy.

Language: Jupyter Notebook - Size: 4.71 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 2

Koopman-Laboratory/KoopmanLab

A library for Koopman Neural Operator with Pytorch.

Language: Python - Size: 579 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 302 - Forks: 24

amazon-science/boon

Datasets and code for results presented in the BOON paper

Language: Jupyter Notebook - Size: 458 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 45 - Forks: 7

SciML/OperatorLearning.jl

No need to train, he's a smooth operator

Language: Julia - Size: 435 KB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 45 - Forks: 7

YichengDWu/Sophon.jl

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

Language: Julia - Size: 169 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 58 - Forks: 6

plugyawn/no-imagegen

Recursive Denoising Neural Operators for superfast image-generation.

Language: Python - Size: 12.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

camlab-ethz/ConvolutionalNeuralOperator

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

Language: Python - Size: 14.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 168 - Forks: 19

MinkaiXu/EGNO

ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics

Language: Python - Size: 10.3 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 56 - Forks: 11

nickhnelsen/random-features-banach

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

Language: Python - Size: 19.7 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 1

ashiq24/UNO

Language: Jupyter Notebook - Size: 351 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 55 - Forks: 8

nickhnelsen/fourier-neural-mappings

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

Language: Python - Size: 4.3 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 0

ccr-cheng/InfGCN-pytorch

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

Language: Jupyter Notebook - Size: 587 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 5

optray/MCNP

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

Language: Python - Size: 63.5 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 17 - Forks: 2

nickhnelsen/error-bounds-for-vvRF

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

Language: Python - Size: 76.2 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

TheoBourdais/ModelAggregation

Official repository for the model aggregation paper

Language: Jupyter Notebook - Size: 103 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

JakobEliasWagner/NeuralOperators

Neural Operators with Applications to the Helmholtz Equation

Language: Python - Size: 263 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

nimahsn/neuraloperators_jax

Neural Operators implemented with JAX and Equinox

Language: Python - Size: 71.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vsingh-group/oinr

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

Language: Python - Size: 5.88 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

lishiqianhugh/GlobalTomo

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

Language: Python - Size: 4.96 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

thomasXwang/flame-ai-challenge

Submission to the Stanford FLAME AI 2023 - ML Challenge

Language: Jupyter Notebook - Size: 37.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

HPCForge/BubbleML

A multiphase multiphysics dataset and benchmarks for scientific machine learning

Language: Python - Size: 138 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 5

Axect/Pomelo

Positron's Milky Way Energy Loss using Operator learning

Size: 1000 Bytes - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

Language: Python - Size: 29.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

tomoleary/dino

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

Language: Python - Size: 161 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 0

NicolaiLassen/no-pytorch

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

Language: Python - Size: 314 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0