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.