Material for tutorial Matrix-free inverse problems with PyLops, to be taught at Transform 2021.
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 or Google Colab (use links provided below to open the notebook directly in Colab).
- Matteo Ravasi (mrava87), KAUST
Session | Exercise (Github) | Exercise (Colab) |
---|---|---|
1: Introduction | Link | |
2: Horizon filling | Link | |
3: Post-stack inversion | 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.