CatalogsVAE

This code accompanies the paper "A visual representation of engineering catalogs using variational autoencoders" by Saketh Sridhara and Krishnan Suresh (submitted).

Dependencies

• Numpy (numpy)
• Pandas (pandas)
• PyTorch (torch)
• Matplotlib (matplotlib.pyplot, matplotlib)
• Scipy (scipy, scipy.spatial)
• Seaborn (seaborn)

Datasets

All the datasets assimilated for this paper are contained in the 'data' folder, as Excel sheets.

Code

An end-to-end working example notebook latentSpaceMaterials.ipynb is provided which can be executed cell-wise to obtain the visual representation.