Machine Learning for Digital Scholarly Editions, WS 2024/25

by Sarah Lang & Martina Scholger

This is the repository for the course "Machine Learning for Digital Scholarly Editions" at the University of Graz, winter semester 2024/25. It will contain all Jupyter Notebooks and example data that we will use during the course.

Usage

To use the notebooks make sure you have installed:

• Python version 3.
• Jupyter. Install it via pip or conda (pip install --user jupyter or conda install jupyter if you use Conda/Anaconda)
• I suggest to also install jupyterlab, which is a more modern version of jupyter notebook (which was installed automatically with jupyter): pip install --user jupyterlab or conda install jupyterlab.

Clone the repository from GitHub:

git clone https://github.com/martinascholger/ml-dse.git

Then change into ml-dse directory and start the Jupyter server:

cd ml-dse

jupyter notebook

or, if you have installed jupyterlab:

jupyter-lab

This will bring up your browser and will show you the contents of the ml-dse directory.

License

All notebooks are licensed under CC BY-NC-SA 4.0.