deeponet
There are 15 repositories under deeponet topic.
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
SciML/FluxNeuralOperators.jl
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
katiana22/TL-DeepONet
Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
katiana22/latent-deeponet
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
SciML/OperatorLearning.jl
No need to train, he's a smooth operator
dtu-act/deeponet-acoustic-wave-prop
Code for training and inferring acoustic wave propagation in 3D
HewlettPackard/separable-operator-networks
Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
HamidrezaEiv/KPCA-DeepONet
Nonlinear model reduction for operator learning
katiana22/surrogate-overparameterization
Source code of "On the influence of over-parameterization in manifold based surrogates and deep neural operators".
liminghao0914/CE7454-final
We implement a Multifidelity-DeepONet that leverages both high-fidelity CFD simulations and real-time, low-fidelity sensor data. We also proved that Multifidelity-DeepONet has better performance compare to all the others baseline methods in our experiments.
robin-janssen/CODES-Benchmark
Benchmarking Surrogates for coupled ODE systems.
nngabe/renonets
RenONet: Multiscale operator learning for complex social systems
pnnl/DeepONets_for_spectroscopy
DeepONets for interpreting x-ray spectra by converting XANES to EXAFS
LemosHenri/RedesNeuraisEDPs
Implementação de metodologias baseadas em redes neurais para a solução de equações diferenciais parciais.