Sequence-to-Sequence Tutorial with Github Issues Data

Code For Medium Article: "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Resources:

1. Tutorial Notebook: The Jupyter notebook that coincides with the Medium post.

2. seq2seq_utils.py: convenience functions that are used in the tutorial notebook to make predictions.

3. ktext: this library is used in the tutorial to clean data. This library can be installed with pip.

4. Nvidia Docker Container: contains all libraries that are required to run the tutorial. This container is built with Nvidia-Docker v1.0. You can run this container by executing nvidia-docker run hamelsmu/seq2seq_tutorial/ after installing Nvidia-Docker v1.0. Note: I have not tested this on Nvidia-Docker v2.0.