This project forked from johanye/iwae-pytorch
Simple Importance Weighted Autoencoders (IWAE) implementation in Pytorch
Link to paper: https://arxiv.org/abs/1509.00519
AnalyticalIWAE: IWAE calculating loss manually
PytorchIWAE: IWAE using built-in torch functions to evaluate and calculation loss.
Includes example of algorithm very easy to apply to existing VAE (although a bit slower)
ConvIWAE: An example of convolutional IWAE, not integrated with main script, only as example
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