Item
DIRESA-Torch: Distance-regularized Siamese twin autoencoder
- Title
- DIRESA-Torch: Distance-regularized Siamese twin autoencoder
- Description
- DIRESA-Torch is a Python package for dimension reduction based on PyTorch. The distance-regularized Siamese twin autoencoder architecture is designed to preserve distance (ordering) in latent space while capturing the non-linearities in the datasets.Install DIRESA-Torch with the following command: pip install diresa-torch
- Creator
- Geert De Paepe; Lesley De Cruz
- Contributor
- Faculty of Engineering | Electronics and Informatics: Research - Development - Innovation | Electronics and Informatics
- Date
- 19 Feb 2026
- Type
- Software
- Format
- software; 6.8MB
- Language
- en
- Relation
- DOI: https://doi.org/10.5281/zenodo.18698814
- 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