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I have pushed my stompsjo/RadClass:shadow branch to cnerg/RadClass:shadow. I will close #44 and copy its contents here for review.

This introduces two classes (ShadowNN and ShadowCNN) that can be used for semi-supervised machine learning with neural networks, Shadow, and PyTorch. This includes typical scikit-learn-esque methods like train and predict as well as methods for hyperparameter optimization and saving the model to file.

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