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MINT is a Python package that streamlines integration of multilayer networks for multimodal community detection (subtyping). MINT is comprised of several modules crafted to: standardize input data, execute Spectral Neighbor-joining Fusion (SNF) and Generalized Louvain (GenLouvain) algorithms, visualize intermediate results, perform cross-validation techniques, and optimize the identified communities by selecting an optimal combination of modalities that maximizes the silhouette score.

Materials for Stanford's EE185 course, Interactive Light Sculpture Project.

KDC Puppet module.

The Otica project public release repository.

Install Kerberos client and granularly control the content of /etc/krb5.conf

Puppet agent installation bootstrap script.