sony/sqvae
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
This project offers an improved way to train deep learning models that generate new images or audio. It helps researchers and machine learning engineers create more diverse and higher-quality outputs from their generative models. You provide an existing dataset of images or sounds, and it helps your model learn more effectively from that data to produce new, realistic variations.
193 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or engineer working with generative models for computer vision or speech, and you want to improve the diversity and quality of the generated outputs.
Not ideal if you are not deeply involved in training and researching advanced generative deep learning models.
Stars
193
Forks
25
Language
Python
License
Apache-2.0
Last pushed
Jul 20, 2022
Commits (30d)
0
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