Adds the ability to train across multiple nodes with multiple GPUs, some Jupyter Notebooks to analyse results, and some minor bug fixes/clean-ups.

Changes

Added the ability to train using PyTorch's DistributedDataParallel module, speeding up training by around 5x
Changed Generator architecture to only use 4x4 kernels
Added more control over saving a model during training; an interval in epochs can be specific at which to save the model
Added lists of clean and stripe indices to PatchVisualiser class
Models are now saved with the --name argument, rather than the --mode argument
Added parameter for the Centre of Rotation in the reconstruct() function
Added a script to generate a mask of stripe locations
Added a script to apply the model to arbitrary tomographic scans
Added Jupyter Notebooks for visualising results, RMSEs, residuals and graphs
Added a tutorial on how to use the repository
Updated documentation and removed old/unused code
Minor bug fixes

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