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4 changes: 2 additions & 2 deletions README.md
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# HI-VAE

This repository contains the implementation of our Heterogeneous Incomplete Variational Autoendoder model (HI-VAE). It has been written in Python, using Tensorflow.
This repository contains the implementation of our Heterogeneous Incomplete Variational Autoencoder model (HI-VAE). It has been written in Python, using Tensorflow.

The details of this model are included in this [paper](https://arxiv.org/abs/1807.03653). Please cite it if you use this code for your own research.

## Databse description
## Database description

There are three different datasets considered in the experiments (Wine, Adult and Default Credit). Each dataset has each own folder, containing:

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