Linking number

• Generates random loops using the LoopMaker app.

• Computes the linking number which can be considered as a label corresponding to a loop-combination.

• Visualize it from the data-file for further analysis if needed.

• [in progress] Classification task using deep neural network

See the linking-number.streamlit.app app in production!

Requirements

• Python 3.10.6 or later
• Required Python packages (see requirements.txt)

Install required packages in your virtual environment using

pip install -r requirements.txt

Usage

Run the script Home.py as

streamlit run Home.py

The data has been already generated and available in the directory data. One can re-run the code and modify the data using

python curve.py

Look at inputs.py to change the parameters.

Visualization

Lk = 0 if the loops are unlinked, whereas Lk = 1 if they are linked.