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5 search results found

Diffeqflux.jl ⭐ 810

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Tl Deeponet ⭐ 36

Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.

Gpt Pinn ⭐ 22

Generative Pre-Trained Physics-Informed Neural Networks Implementation

Physics-informed deep super-resolution of spatiotemporal data

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

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