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[P] A PyTorch implementation of “Continuous Relaxation Training of Discrete Latent Variable Image Model”

Hi All,

Just wanted to share a PyTorch implementation of “Continuous Relaxation Training of Discrete Latent Variable Image Models”, Casper Kaae Sønderby, Ben Poole, Andriy Mnih. It includes the GS-Soft and VQVAE models from the paper and (to my knowledge) is the only implementation that that gets close to the reported bits per dimension on CIFAR10 for VQVAE.

Link to repo: https://github.com/bshall/VectorQuantizedVAE

Link to paper: http://bayesiandeeplearning.org/2017/papers/54.pdf

submitted by /u/b-shall
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.