1 research outputs found
Convolutional Neural Operators for robust and accurate learning of PDEs - datasets
<p>We made the datasets as clean as we could. It is now clear which data sets correspong to in-distribution and out-of-distributions testings.</p><p> </p><p><strong>Please refer to out github page to get the script that loads the datasets: </strong></p><blockquote><p>https://github.com/bogdanraonic3/ConvolutionalNeuralOperator/tree/main </p></blockquote><p> </p><p>We also added additional datasets corresponding to Darcy flow (it was not there in the previous version).</p><p> </p>