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This project is designed to convert image files (binary bitmap images to begin with) to surface space through population receptive field estimates from Noah Benson's retinotopic atlas (https://github.com/noahbenson/neuropythy).

Add new features to the dashboard to help user manage items and item-containers on the farm. Incorporate visitor, and adapter design patterns into the design and implementation of the existing code in order to efficiently implement the new features.

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

group member managerment

This project is started to test the user creation through rabbitMQ agents