This repository accompanies the paper "Dimensionless Learning Based on Information" and provides resources for reproducing the results in the paper. Each example is organized in a separate directory containing three components: a Jupyter notebook (**.ipynb) with the workflow implementing IT-π, the input dataset used for analysis, and a workspace output file (output.pkl) containing all generated results data.