This repository contains a custom implementation of a Language Model using a custom LSTM built within the PyTorch framework.
This custom LSTM was built as part of a project in the course 02456 Deep Learning @ DTU - Technical University of Denmark
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The code was originally forked from the PyTorch word level language modeling example.
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The notebook is available on google colab and in this github repo, but instructions to run will only be given for the google colab version, for which we give instructions to train a word level language models over the Penn Treebank (PTB)
Python 3 and PyTorch 0.4 are required for the current codebase.
This project is licensed under the MIT License - see the LICENSE.md file for details