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poe-m: Parallel Generative Bidirectional LSTMs for Haiku Generation

by Akira, Christine, and Sedong


Welcome to our Deep Learning (CSCI 1470) final project! To learn more about this project, see our poster in poster.pdf. Our dataset (a collection of haikus web-scraped from Reddit) can be found in data/haiku.csv. Our three model architectures can be found in code/naive_n_gram.py, code/line_by_line_no_stops.py, and code/line_by_line_with_stops.py. Scripts to train these models can be found in code/scripts. Once models are trained, poems can be generated using the code/generate_poems functions.

To download our models, begin by creating a directory at code/models. Then click here to access the model files. Download the zip file, and extract it into the code/models folder. Please be mindful that the zip file is approximately 440 MB. Now you can use our three models to generate haikus!

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