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This project contains Python files used to construct, train and evaluate deep neural net swept volume size estimators

Tapia Lab's Adaptive Motion Planning Engine (APME) for moving obstacle avoidance testing and development.

Neural Net that will play 3 pile nim optimally.

Tutorial for C&C August 2018.

This is where I'm keeping my SPACK CARC package definition repo

LoboGit repository for the CS341L class spring 2017 semester

Python and XSLT scripts for a desktop workflow to harvest published LTER datasets via the PASTA API and package for ingest into a DSpace repository.

Math 471 repo for homework and projects

Reads metadata from file info or CSV and copies content files with metadata into Simple Archive Package format for ingest into a DSpace repository.

Experimental utility to harvest item level XML metadata from dspace. Users can opt to harvest from the OAI-PMH interface or, alternatively, the API (requires dspace v4 and above).