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GMVAE-pytorch

-i Location for the dataset

-o Location for parameter checkpoints and samples

-p how many iterations between print statements

-t Every how many epochs to write checkpoint/samples?

-r Restore training from previous model checkpoint?

-k Number of components in the mixture.

-z Dimension of the latent variable x

-w Dimension of the latent variable w

-hd Number of neurons of each fc layer

-hl Number of dense layers in each network

-lr Batch size during training per GPU

-x How many epochs to run in total?

-s Random seed to use

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  • Python 90.6%
  • Shell 9.4%