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A PyTorch implementation of Adversarial Autoencoders for unsupervised classification

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Unsupervised Adversarial Autoencoder

A PyTorch implementation of Adversarial Autoencoders (AAEs) for unsupervised classification. This is an extension of one of ML4Sci's DeepLense evaluation tests for Google Summer of Code. The code that I submitted for evaluation is available in this repository.

The main reasons for the creating of this repo is to fix some mistakes that I did in my evaluation test and to also explore AAEs a bit more in-depth!

Note: since the .ipynb file is quite large (lots of images!) it may not open correctly on GitHub. I recommend viewing it through this link in nbviewer!

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