PROJECT
VQVAE Toy Implementation
A compact PyTorch study implementation of a Vector-Quantized Variational Autoencoder, trained on FFHQ face images. It exposes the encoder, codebook and decoder path through a small, inspectable model.

A compact PyTorch study implementation of a Vector-Quantized Variational Autoencoder, trained on FFHQ face images. It exposes the encoder, codebook and decoder path through a small, inspectable model.
