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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

Conventions to follow when releasing new versions of software.

Two sample lists

samples to be processed from raw, internally additional samples already pre-processed from an external source

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

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

Basic Singularity container commands

Using https://blog.keras.io/building-autoencoders-in-keras.html as a template, this project is for building simple autoencoders for image denoising