Name: Phil Pope
Type: User
Company: University of Maryland
Bio: CS PhD Student @ University of Maryland, College Park. Machine learning.
Previously @ HRL, Clarifai, New College of Florida
Location: College Park
Blog: https://ppope.github.io/
Phil Pope's Projects
Materials for the course "Visualization, Reporting and Reproducible Research", Spring 2016, NCF DS
Anomaly Detection with R
A Scheme kernel for Jupyter that can use Python libraries
Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J
My various dockerfiles
These are my dotfiles.
Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR 2019)
Integration of flask, react, and D3.
A comparison of classifiers in python and R. The data is fMRI, and the classifications are control, schizophrenia, and bipolar.
Install scripts for dev machines
Code for Kaggle competitions
Test of https://github.com/kynan/nbstripout
Work for the Data Science Program @ New College of Florida
R scripts I wrote for my undergraduate thesis during Summer 2013.
Prediction of OCEAN personality scores from twitter data.
Learning the Kohn-Sham charge density. Code and data for "Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach" (NeurIPS 2023)