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Variational Autoencoder with Vamp- Prior

Project for the Advanced Machine Learning Course given at KTH fall 2020.

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Re-implemented the paper VAE with a VampPrior by Jakub M. Tomczak and Max Welling where we train a Variational Autoencoder with learnable psudo-inputs that shape the prior distribution used by in the encoder-decoder framework.

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MLA Group Project: VAE with a VampPrior

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