zalandoresearch/pytorch-vq-vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
This is a PyTorch implementation of VQ-VAE. It is a research project for machine learning practitioners interested in working with VQ-VAE models. This helps researchers experiment with vector quantized variational autoencoders.
602 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or student looking to implement and experiment with a VQ-VAE model in PyTorch.
Not ideal if you are looking for a high-level API or a pre-trained model for immediate application rather than a research implementation.
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License
MIT
Last pushed
Nov 13, 2019
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