# sksq96/pytorch-vae

<https://repo.masters-masters.com/en/repos/sksq96/pytorch-vae>

[Home](https://repo.masters-masters.com/en) › [sksq96](https://repo.masters-masters.com/en/owners/sksq96) › [pytorch-vae](https://repo.masters-masters.com/en/repos/sksq96/pytorch-vae)

sksq96/pytorch-vae has 301 stars on GitHub. Its RepoMasters card: Alpha tier. A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

| Field | Value |
| --- | --- |
| Owner | [sksq96](https://repo.masters-masters.com/en/owners/sksq96) |
| Stars | 301 |
| Forks | 62 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Topics | variational-autoencoder, vae, convolutional-neural-networks |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [sksq96/pytorch-vae](https://github.com/sksq96/pytorch-vae) |

## Repository

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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