A Convolutional β-VAE in PyTorch based loosely off of the Conv VAE used in the World Models research paper. The overall goal is to test its effectiveness in dimension reduction (training a seperate model on its latent vectors as in World Models).
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A Convolutional β-VAE in PyTorch based loosely off of the Conv VAE used in the World Models research paper.
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newbie-gk/Convolutional-Disentangled-Variational-Autoencoder
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A Convolutional β-VAE in PyTorch based loosely off of the Conv VAE used in the World Models research paper.
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