Material for tutorial Solving large-scale inverse problems in Python with PyLops, to be taught at PyData Global 2020 course.
The material covered during the tutorial is composed of 3 jupyter notebooks. Participants can either use:
- local Python installation (follow these instructions to setup your environment)
- a Cloud-hosted environment such as Google Colab (use links provided below to open the notebook directly in Colab).
- Matteo Ravasi (mrava87), Equinor ASA
- David Vargas (davofis), Utrecht University
- Ivan Vasconcelos (ivasconcelosUU), Utrecht University
| Session | Exercise (Github) | Exercise (Colab) | Solutions (Colab) | Videos |
|---|---|---|---|---|
| 1: Introduction | Link |  |
|
Link |
| 2: Image Deblurring | Link | |
|
Link |
| 3: Radon Transforms | Link | |
|
Link |
| 4: What's next? | Link | Link |
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.