Official Pytorch implementation of ICLR 2018 paper Deep Learning for Physical Processes: Integrating Prior Scientific Knowledge.

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Deep Learning flow
Overview

Deep Learning for Physical Processes: Integrating Prior Scientific Knowledge:

Official Pytorch implementation of ICLR 2018 paper Deep Learning for Physical Processes: Integrating Prior Scientific Knowledge.

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Guetting started:

Clone repository along with submodules: git clone --recursive https://github.com/emited/flow

Dataset

Download the data here.

Results

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Note: By defalt, this implementation currently uses bilinear interpolation for warping. This scheme works well for modeling purely advective processes. For advective and diffusive processes, a gaussian warping scheme can be used (flow/modules/warps/GaussianWarpingScheme). The gaussian warping scheme will be integrated shortly into pytorch. Take a look at the pull request here for a status update. While waiting, it is possible to build pytorch from a forked version available here.

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Comments
  • How to read a nc file ?

    How to read a nc file ?

    I tried executing the program. But I couldn’t read nc file of CMEMS Data Access Portal.

    In SSTseq class, data is read as a .pkl file. https://github.com/emited/flow/blob/master/flow/datasets/nc.py#L31

    Could you tell me how to convert the .nc file to .pkl file ?

    opened by szukiyu 6
Owner
emmanuel
emmanuel
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