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Generative Fourier-based Auto-Encoders

This is a PyTorch implementation for the framework presented in the following paper: Generative Fourier-based Auto-Encoders: Preliminary Results paper

Requirements

  • torch==1.5.0
  • torchaudio==0.5.0
  • scikit-learn==0.22.2.post1
  • numpy==1.12.0

Use requirements.txt to install all the dependencies. Tested only with Python 3.6

Data

Download the dataset used from here and place it in data.

Run the experiment

  • check if all the path are corrects in the settings of the various scripts
  • to test the likelihood of the models run likelihood/run_likelihood.py
  • to obtain the Fig.2a use likelihood/print_likelihood.py
  • with the number of components obtain from the previous script, run ppca/experiment_ppca.py
  • with the data saved from the previous script, run ppca/plot_generation.py to obtain Fig.2b