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Update ssivae.py
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ziatdinovmax authored May 27, 2021
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6 changes: 4 additions & 2 deletions pyroved/models/ssivae.py
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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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