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Anomaly detection in text using variational autoencoders

Project done by Jan Latko, Artur Przybysz and Jonatan Cichawa for a Deep Learning DTU course under the supervision from Corti.

Running

To run an RNN-VAE experiment use experiment.py file with appropriate configuration (experiments use Sacred). To evaluate a saved model against different dataset use load_model.py.

To run a word frequency baseline download those english word frequencies and run baseline.py.

lang_model.py runs a RNN-LM experiment.

analyze_results.ipynb was used to load logs and metrics from experiments and analyze them.

Needed data and embeddings should download automatically.


Parts of the code were based on https://github.com/wiseodd/controlled-text-generation.

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