# mhw32/multimodal-vae-public

<https://repo.masters-masters.com/en/repos/mhw32/multimodal-vae-public>

[Home](https://repo.masters-masters.com/en) › [mhw32](https://repo.masters-masters.com/en/owners/mhw32) › [multimodal-vae-public](https://repo.masters-masters.com/en/repos/mhw32/multimodal-vae-public)

mhw32/multimodal-vae-public has 168 stars on GitHub. Its RepoMasters card: Prototype tier. A PyTorch implementation of "Multimodal Generative Models for…

| Field | Value |
| --- | --- |
| Owner | [mhw32](https://repo.masters-masters.com/en/owners/mhw32) |
| Stars | 168 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Topics | machine-learning, generative-models, variational-autoencoder, multimodal-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [mhw32/multimodal-vae-public](https://github.com/mhw32/multimodal-vae-public) |

## Repository

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

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.