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TimeGAN-tensorflow2

About this repository

Time-series Generative Adversarial Networks (TimeGAN) is the work of Jinsung Yoon, Daniel Jarrett, and Mihaela van der Schaar (paper). This repository implements TimeGAN (original code) with TensorFlow 2.X version, mainly for the Hide-and-seek privacy challenge held by NeurIPS (webpage).

How to run

Setup

cat requirements.txt | xargs -n 1 pip install

Execution

Execute with default settings (use the Stock dataset)

python main.py

Execute with differential privacy

python main.py --use_dpsgd True

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TensorFlow 2.X implementation of TimeGAN

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