# MishaLaskin/vqvae

<https://repo.masters-masters.com/en/repos/MishaLaskin/vqvae>

[Home](https://repo.masters-masters.com/en) › [MishaLaskin](https://repo.masters-masters.com/en/owners/MishaLaskin) › [vqvae](https://repo.masters-masters.com/en/repos/MishaLaskin/vqvae)

MishaLaskin/vqvae has 913 stars on GitHub. Its RepoMasters card: Beta tier. A pytorch implementation of the vector quantized variational autoencoder…

| Field | Value |
| --- | --- |
| Owner | [MishaLaskin](https://repo.masters-masters.com/en/owners/MishaLaskin) |
| Stars | 913 |
| Forks | 105 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2019 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [MishaLaskin/vqvae](https://github.com/MishaLaskin/vqvae) |

## Repository

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
