https://github.com/Luoyonghong/E2EGAN
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README.md
# IJCAI19 paper E2GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation 
 author: Yonghong Luo, Ying Zhang*, Xiangrui Cai and Xiaojie Yuan
 
 tensorflow version:1.7 python:2.7
### To run the code, go to the "imputation" folder:
 Execute the Physionet_main.py file, you will get the imputed Physionet dataset and model checkpoint (we have provided these files). Next, this script will train the classification model and get a final AUC score (GRUI/Run_GAN_imputed.py).
  
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