/autoencoder-case-studies

Supplementary software for the paper 'An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges'

Primary LanguagePythonMozilla Public License 2.0MPL-2.0

Autoencoder case studies

This is the supplementary software for the paper 'On the use of autoencoders for representation learning: Fundamentals and case studies'

Inside this package, you will find 3 R examples and 2 Python examples:

  • Anomaly detection (UNSW-NB15 dataset)
  • Data embedding/visualization (datasets Satellite image and CPU Activity)
  • Hashing (Bibtex dataset)
  • Denoising (STL10 dataset)
  • Instance generation (AT&T faces dataset)

There are two additional prototypes for image compression and superresolution examples.