# sony/sqvae

<https://repo.masters-masters.com/en/repos/sony/sqvae>

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

sony/sqvae has 196 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

| Field | Value |
| --- | --- |
| Owner | [sony](https://repo.masters-masters.com/en/owners/sony) |
| Stars | 196 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | bayesian, deep-generative-model, generative-model, gumbel-softmax, machine-learning, pytorch, vae, variational-autoencoder, vector-quantization, vq-vae |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [sony/sqvae](https://github.com/sony/sqvae) |

## Repository

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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