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PyLops Tutorial at Transform 2022

Material for the PyLops tutorial to be taught at Transform 2022.

The material covered during the tutorial is composed of 2 jupyter notebooks. Participants can either use:

  • local Python installation (simply run conda env create -f environment. yml)
  • a Cloud-hosted environment such as Binder or Google Colab (use links provided below to open the notebook directly in Colab).

Note that a small portion of the second notebook requires access to a GPU and cupy installation. Do not worry if you do not have access to this, either use Colab or simply skip those cells.

Instructor

  • Carlos Alberto da Costa Filho (cako), DarkVision Technologies Inc.
  • Matteo Ravasi (mrava87), KAUST
  • Nick Luiken (NickLuiken), KAUST

Notebooks

Session Exercise (Github) Exercise (Colab)
1: A tour of Seismic Decon Link Open In Colab
2: PyLops v2, what's that? Link Open In Colab

License

The material in this repository is open and can be modified and redistributed according to the chosen licences.

Text is licensed under CC BY Creative Commons License.

Code is licensed under the Apache License, Version 2.0.