Topic: deeponet Goto Github
Some thing interesting about deeponet
Some thing interesting about deeponet
deeponet,Code for training and inferring acoustic wave propagation in 3D
Organization: dtu-act
deeponet,Nonlinear model reduction for operator learning
User: hamidrezaeiv
deeponet,Physics Informed Machine Learning Tutorials (Pytorch and Jax)
User: jdtoscano94
deeponet,Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
User: katiana22
deeponet,Source code of "On the influence of over-parameterization in manifold based surrogates and deep neural operators".
User: katiana22
deeponet,Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.
User: katiana22
deeponet,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.
User: liminghao0914
deeponet,A library for scientific machine learning and physics-informed learning
User: lululxvi
Home Page: https://deepxde.readthedocs.io
deeponet,Neural Operators implemented with JAX and Equinox
User: nimahsn
deeponet,RenONet: Multiscale operator learning for complex social systems
User: nngabe
deeponet,DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Organization: sciml
Home Page: https://docs.sciml.ai/NeuralOperators/stable/
deeponet,No need to train, he's a smooth operator
Organization: sciml
Home Page: https://operatorlearning.sciml.ai/dev
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