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donghyeonk committed Aug 26, 2018
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# NESA
# NESA: Neural Event Scheduling Assistant
Implementation of "Learning User Preferences and Understanding Calendar Contexts for Event Scheduling"

Donghyeon Kim and Jinhyuk Lee _et al_.

# Prerequisites
* Python 3
* [Python 3](https://www.python.org/downloads/)
* [PyTorch](http://pytorch.org/) 0.4.1
* (Optional) NVIDIA GPU (memory size: 8GB or greater)
* [CUDA](https://developer.nvidia.com/cuda-downloads)
* [cuDNN](https://developer.nvidia.com/cudnn)
* [CUDA](https://developer.nvidia.com/cuda-downloads), [cuDNN](https://developer.nvidia.com/cudnn)
* A [Google](https://www.google.com) account

# Download sample data
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$ python3 test.py
```

# Bonus: Run NESA w/ your calendar data
# (Optional) Run NESA w/ your calendar data
* Important: Download client_secret.json to the project folder before running get_google_calendar_events.py
(See https://developers.google.com/google-apps/calendar/quickstart/python)
```
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