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Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"

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IMPORTANT UPDATE!

Please consider checking the code for my new work Improving Missing Value Imputation with Deep Generative Models.

Multi-Categorical GANs

Code for the paper Generating Multi-Categorical Samples with Generative Adversarial Networks

Pre-requisites

The project was developed using python 3.6.7 with the following packages:

  • future==0.17.1
  • numpy==1.16.0
  • scikit-learn==0.20.2
  • scipy==1.2.0
  • torch==1.0.0

Installation with pip:

pip install -r requirements.txt

Contents

Changelog

  • 2019-01-28: changed to Python 3 as suggested (and still compatible with 2.7 ... I hope).
  • 2018-07-25: now we use WGAN-GP for ARAE following the author updates.

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Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"

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