https://github.com/neuraloperator/neuraloperator

Learning in infinite dimension with neural operators.

fno fourier-neural-operator neural-operator neural-operators partial-differential-equations pde pytorch tensor-methods tensorization tensorly uno

Last synced: 13 May 2025

https://github.com/neuraloperator/coda-no

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

foundation-models neural-operator pde-solver

Last synced: 28 Apr 2025

https://github.com/yichengdwu/sophon.jl

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

diffeq neural-operator pinns sciml

Last synced: 07 Apr 2025

https://github.com/sciml/operatorlearning.jl

No need to train, he's a smooth operator

deeponet julia neural-operator physics-informed-ml

Last synced: 09 May 2025

https://github.com/amazon-science/boon

Datasets and code for results presented in the BOON paper

boundary-conditions constrained-operator neural-operator operator-learning partial-differential-equations

Last synced: 03 May 2025

https://github.com/nickhnelsen/fourier-neural-mappings

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

fourier-neural-operator functional-regression infinite-dimensions neural-operator operator-learning partial-differential-equations surrogate-model

Last synced: 03 Apr 2025

https://github.com/minkaixu/egno

dynamic-simulations geometric-deep-learning graph-neural-networks molecular-dynamics neural-operator

Last synced: 21 Nov 2024

https://github.com/axect/neural_hamilton

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

classical-mechanics deep-learning hamiltonian-dynamics machine-learning neural-operator operator-learning

Last synced: 29 Jan 2025

https://github.com/ccr-cheng/InfGCN-pytorch

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

electron-density equivariance equivariant-network graphon neural-operator

Last synced: 21 Dec 2024

https://github.com/nickhnelsen/error-bounds-for-vvrf

Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features''

fourier-neural-operator functional-regression infinite-dimensions neural-operator operator-learning partial-differential-equations random-features

Last synced: 03 Apr 2025

https://github.com/nickhnelsen/random-features-banach

Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces"

fourier-neural-operator functional-regression infinite-dimensions neural-operator operator-learning partial-differential-equations random-features

Last synced: 03 Apr 2025

https://github.com/axect/pomelo

Positron's Milky Way Energy Loss using Operator learning

astroparticle-physics deep-learning neural-operator

Last synced: 24 Mar 2025