Material for the Day1 Bootcamp at KAUST Hackathon in Geoscience - March 5th-7th 2022
The material covered during this bootcamp is composed of 2 jupyter notebooks. Participants can either use:
- local Python installation (follow these instructions - see Environment section. 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), KAUST
| Session | Exercise (Github) | Exercise (Colab) |
|---|---|---|
| 1: Introduction to Torch | Link |  |
| 2: Segmentation | 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.