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A yml and a set of instructions to build a functioning horovod environment for distributed learning using keras and tensorflow (and torch on Cheaha

Dockerfile to create a Docker container for data gathering on cheaha

This project is dedicated to using various linear and nonlinear machine learning algorithms to create a model of cortical thickness as a function of various anatomic and retinotopic properties in early visual cortex.

Development site for PAGER-CoV

How to setup and use the Python OpenStack Client to observe resource usage in Cloud.rc projects.