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This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

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contrib slim doesn't exist for 2.0, and looks to require substantial reworking. https://www.tensorflow.org/guide/migrate#a_note_on_slim_contriblayers

I started the run_avae.py script with the default configuration for mnist dataset, however I got nan after 33000 epochs: ELBO: nan, ELBO (val): nan: 17%|##### | 33703/200000 Is there any...

Specifically [here](https://github.com/LMescheder/AdversarialVariationalBayes/blob/ced4bcc1aa22bd1cdb607b7b21fe7236fe68846c/avb/avb/models/conv0.py#L104)