This repository contains theory and pytorch code for building and training variational autoencoders (VAEs).
Models that have been implemented with corresponding theory:
- VAE [Paper] [Notebook]
- CB-VAE [Paper] [Notebook]
- Beta-VAE [Paper] [Notebook] TODO
- VQ-VAE [Paper] [Notebook] TODO
- VQ-VAE-2 [Paper] [Notebook] TODO