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Implement Categorical Variational autoencoder using Pytorch

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categorical-vae

Implement Categorical Variational autoencoder using Pytorch

Reproducing the results of https://arxiv.org/pdf/1611.01144.pdf (or https://arxiv.org/abs/1611.00712) in Pytorch framework. The original implementation by authors use Tensorflow. In Pytorch there is no readily available Gumbel Softmax distribution to sample from, so have to implement the Relaxed Categorical representation to sample the latent representation.

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Implement Categorical Variational autoencoder using Pytorch

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