# kefirski/pytorch\_RVAE

<https://repo.masters-masters.com/en/repos/kefirski/pytorch_RVAE>

[Home](https://repo.masters-masters.com/en) › [kefirski](https://repo.masters-masters.com/en/owners/kefirski) › [pytorch\_RVAE](https://repo.masters-masters.com/en/repos/kefirski/pytorch_RVAE)

kefirski/pytorch\_RVAE has 358 stars on GitHub. Its RepoMasters card: Alpha tier. Recurrent Variational Autoencoder that generates sequential data implemented…

| Field | Value |
| --- | --- |
| Owner | [kefirski](https://repo.masters-masters.com/en/owners/kefirski) |
| Stars | 358 |
| Forks | 83 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | pytorch, python, vae, deep-learning, nlp |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [kefirski/pytorch\_RVAE](https://github.com/kefirski/pytorch_RVAE) |

## Repository

Recurrent Variational Autoencoder that generates sequential data implemented with 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.