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SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation

This is an implementation for the generative model used in SenseGen paper SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation

Authors:

Usage

To be able to run the examples you need to download checkpoints for provided models as well as dataset.

To download the dataset and all checkpoints run following:

./download_dataset.sh

Then run and train the model by running the SenseGenModel.ipynb notebook.

All rights reserved Networked and Embedded Systems Lab (NESL), UCLA.