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

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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.

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