A Collection of Variational Autoencoders (VAE) in PyTorch.
deep-learning
reproducible-research
architecture
pytorch
vae
beta-vae
paper-implementations
gumbel-softmax
celeba-dataset
wae
variational-autoencoders
pytorch-implementation
dfc-vae
iwae
vqvae
vae-implementation
pytorch-vae
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Updated
Mar 25, 2021 - Python
The semantic segmentation models need to be extended to work with 3D data. This should be very straightforward - just introduce an option to select between 1D, 2D, and 3D cases to ConvBlock, [UpsampleBlock](https://g