# Schlumberger/joint-vae

<https://repo.masters-masters.com/en/repos/Schlumberger/joint-vae>

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

Schlumberger/joint-vae has 469 stars on GitHub. Its RepoMasters card: Alpha tier. Pytorch implementation of JointVAE, a framework for disentangling continuous…

| Field | Value |
| --- | --- |
| Owner | [Schlumberger](https://repo.masters-masters.com/en/owners/Schlumberger) |
| Stars | 469 |
| Forks | 60 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Topics | disentangled-representations, disentanglement, gumbel-softmax, vae, generative-models, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Schlumberger/joint-vae](https://github.com/Schlumberger/joint-vae) |

## Repository

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:

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.