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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.

Attempt to repair SAML 2.0 SP metadata. Built for the way UIT currently stores metadata fragments.

David Chassin's testing/development fork of gridlabd on github

Cookie manipulation for IdPs

The "remi" shared module

The Quake lab has a couple of sequencing systems. This will be the workflow that monitors for completed jobs, gets the sample sheets, and runs analysis.

Scripts used to explore dimensionality reduction and classification for a dataset investigating sex differences in those diagnosed with ASD. Written in Python with scikit

Code for extracting individual contribution from group Structural Covariance Matrices (SCM). See this article for more info - https://dx.doi.org/10.1016%2Fj.neuroimage.2015.07.006

The collaborative 3-person Pictionary task is a multi-player version of the Pictionary game [1]. The goal of the task is to draw a verb independently and collectively for others to guess. Nine verbs were drawn over three runs. The drawing of each verb can be split into three phases: independent phase (two blocks), evaluation phase (one block), and the collaboration phase (three blocks). Each block lasted for 30s, and was separated by a fixation period jittering around 7-8s. Ref[1]: Xie, Hua, et al. "Finding the neural correlates of collaboration using a three-person fMRI hyperscanning paradigm." bioRxiv (2019): 782870.

All in one project to show how to get started with perfSONAR and go all the way to MaDDash grids.

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

Example plain HTML site using GitLab Pages: https://pages.gitlab.io/plain-html

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

Tomcat configuration and ROOT app for weblogin.itlab.stanford.edu

Using Ionic 3, creating a simple to-do list with connectivity to Google's Cloud Firestore

Backup GCP Cloud SQL databases to Cloud Storage buckets.