Load pre-trained GNINA default2017 and default2018 models #36
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Description
Partially address #33 and #35 by adding functionality to load the
default2017anddefault2018pre-trained GNINA models (with weights from #34 ).The
densemodel is WIP, given the complexity of the architecture and possible problem in the.ptfile (likely withBatchNormlayers). However, this PR simplify slightly the model architecture by lowering the level of nestedness.PR Checklist