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 ## Introduction
----
 
 This package is designed to generate synthetic data from a dataset from an original dataset using deep learning techniques
 
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     - With "Earth mover's distance"
 
 ## Installation
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     pip install git+https://hiplab.mc.vanderbilt.edu/git/aou/data-maker.git@release
 
 ## Usage
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+
 After installing the easiest way to get started is as follows (using pandas). The process is as follows:
 1. Train the GAN on the original/raw dataset
 
@@ -35,7 +33,6 @@ After installing the easiest way to get started is as follows (using pandas). Th
 
 
 ## Limitations
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 GANS will generate data assuming the original data has all the value space needed:
     
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         e.g:measurements (height, blood pressure, ...)
 
 ## Credits :
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 - [Ziqi Zhang](ziqi.zhang@vanderbilt.edu)
 - [Brad Malin](b.malin@vanderbilt.edu)