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Phil Pope's Projects

2016-vr3 icon 2016-vr3

Materials for the course "Visualization, Reporting and Reproducible Research", Spring 2016, NCF DS

dimensions icon dimensions

Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J

explain_graphs icon explain_graphs

Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR 2019)

fmri-project-2014 icon fmri-project-2014

A comparison of classifiers in python and R. The data is fMRI, and the classifications are control, schizophrenia, and bipolar.

ncf-ds icon ncf-ds

Work for the Data Science Program @ New College of Florida

ncf-thesis icon ncf-thesis

R scripts I wrote for my undergraduate thesis during Summer 2013.

rho-learn icon rho-learn

Learning the Kohn-Sham charge density. Code and data for "Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach" (NeurIPS 2023)

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