computing_tutorial

This repo is an informal computational workflow and productivity tutorial that was presented at the University of Washington.

New Slides: BruntonLab Meeting 10/24/24

Old Slide available at: BruntonLab Meeting 08/24/23

Typical setup for installing conda environment and dependencies

To install the repo there is a conda environment that will install the necessary packages. Make sure you are in the Github repo directory. Use command:

conda env create -f environment.yaml

After installing activate the conda environment:

conda activate comp_workflow

Once in the environment go to this site to install the appropriate pytorch version. I would recommend using conda: https://pytorch.org/get-started/locally/

After pytorch is correctly installed run this command to install pip reqruirements:

pip install -r requirements.txt