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YugeTen authored Jan 12, 2020
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A PyTorch implementation of *Multimodal Generative Models for Scalable Weakly-Supervised Learning* (https://arxiv.org/abs/1802.05335). Code adapted from [original implementation](https://github.com/mhw32/multimodal-vae-public) by authors.

## Setup/Installation
Identical to [mm-dgm](https://github.com/iffsid/mm-dgm).
Identical to [mm-dgm](https://github.com/iffsid/mmvae).

## How to run
Run `main.py` in `mnist_svhn/`. Results can be found in `mnist_svhn/experiments`.
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