Item
DIRESA: Distance-regularized Siamese twin autoencoder
- Title
- DIRESA: Distance-regularized Siamese twin autoencoder
- Description
- DIRESA is a Python package for dimension reduction based on TensorFlow. The distance-regularized Siamese twin autoencoder architecture is designed to preserve distance (ordering) in latent space while capturing the non-linearities in the datasets.PrerequisitesThe DIRESA package depends on the tensorflow and tensorflow_probability packages. These can be installed with the following commands: pip install tensorflow pip install tensorflow_probabilityInstall DIRESAInstall DIRESA with the following command: pip install diresa
- Creator
- Geert De Paepe; Lesley De Cruz
- Contributor
- Faculty of Engineering | Electronics and Informatics: Research - Development - Innovation | Electronics and Informatics
- Publisher
- Zenodo
- Date
- 18 Mar 2024
- Type
- Software
- Format
- software; 42.9 kB
- Language
- en
- Source
- https://researchportal.vub.be/en/publications/diresa-distance-regularized-siamese-twin-autoencoder/
- Relation
- DOI: https://doi.org/10.5281/zenodo.10829310
- Rights
- Rights not stated in the record; consult the VUB Research Portal / rights holder
- Educational Level
- Higher education | research
- Interactivity Type
- Active
- Item sets
- Vrije Universiteit Brussel