This repository has repurposed the generative architecture of Razabi et al.'s Multi-Level Vector Quantized Variational AutoEncoder (VQ-VAE-2) to compress medical images in PyTorch.

Additionally, the compressed latent vectors and reconstructed images have been used to train the CheXNet (DenseNet-121 pre-trained on ImageNet) algorithm.