This version of microDL will use pytorch for implementing 2D and 2.5D UNets for image translation. We will phase out 3D UNet and tensorflow code. We will leave the ability to train a segmentation model. Consolidate the parameters into one config, and select the stage of pipeline with a CLI (e.g., microDL --preprocess config.yml, microDL --train config.yml, or microDL --predict config.yml).