The code for the tutorial is in this GitHub repository; to get it locally you need to have git installed (Git for Windows).
The tutorial is implemented in Python. Miniconda is a package manager that allows you to get Python and install all necessary packages.
Once you have both installed, navigate to the directory in which you want to save this tutorial and open it in the miniconda prompt. There, execute the command
git clone https://github.com/finnsherry/EquivarianceTutorial
Next, navigate into the downloaded repository using
cd EquivarianceTutorial
Now, create and activate a conda environment
conda create -n equivariance python=3.13
conda activate equivariance
You can now install all necessary packages:
pip install requirements.txt
The tutorial is a jupyter notebook, you can find it by executing
jupyter lab
Alternatively, you can open it in code editors such as Visual Studio Code.