SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"
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Plain Text - 182.6 GB - MD5: c51b4d12201d3d24cf6ff8868856ef65
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Detailed results, including predictions on datasets and best parameters, for all main methods. This excludes the data for individual hyperparameter optimization (HPO) steps, which is provided separately.
Plain Text - 5.7 GB - MD5: 45aa6445bbe5308a70cc4f5541b85acc
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Results folder (within the data folder) without extra results (predictions on the datasets, optimal hyperparameters). After unpacking, the folder should be renamed to "results".
Plain Text - 3.5 GB - MD5: aee96049f206a64cf9002749f238a8b9
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Folder with imported datasets, with restricted access for copyright reasons.
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Code for running the Grinsztajn. et al (2022) benchmark with our models.
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