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========= | ||
Semi-supervised variational autoencoder for data | ||
with positional (rotation+translation) disorder | ||
with orientational, positional and scale disorders | ||
Created by Maxim Ziatdinov (email: [email protected]) | ||
""" | ||
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class ssiVAE(baseVAE): | ||
""" | ||
Semi-supervised variational autoencoder with the enforcement | ||
of rotational, translational, and scale invariances | ||
of rotational, translational, and scale invariances. It allows performing | ||
a classification of image/spectral data given a small number of examples | ||
even in the presence of a distribution shift between the labeled and unlabeled parts. | ||
Args: | ||
data_dim: | ||
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