baz-net

A Deep Neural Network for Confident Three-component Backazimuth Prediction

Setup the Environment:

Save the contents of this git repository to your local computer, open a terminal in the folder where it resides, then follow the instructions below:

Use CONDA to create the Python Environment:

Ensure that Anaconda is installed on your system, then create a new conda virtual environment named BazEnv, and activate it:

conda env create -f environment.yml

conda activate BazEnv

Use VENV to create the Python Environment:

Ensure that venv is installed on your system, then create a new virtual environment:

python3 -m venv env

source env/bin/activate

python3 -m pip install -r requirements.txt

Running the Notebook:

Open a terminal in the folder where you saved this repository, activate your env created above, then type the following:

jupyter notebook

Your web browser should now open to show the contents of the folder from which you activated the notebook. Simply click on the BazNet.ipynb file and the notebook should open.