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README.md

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# variational-autoencoder
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this is an implementation of [variational autoencoder](https://en.wikipedia.org/wiki/Variational_autoencoder) using pytorch-lightning.
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there are some helper classes for a lightning datamodule (with support for tran-validation split) and lightning model.
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after training with a 2d latent space, the latent space looks like this:
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![image of the latent space](output/latent_space_samples.png)

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