Published February 19, 2026
| Version 1.2.2
Software
Open
DIRESA-Torch
Authors/Creators
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1.
Vrije Universiteit Brussel
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2.
Karel de Grote University College
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3.
Royal Meteorological Institute of Belgium
Description
DIRESA-Torch
Overview
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
Install DIRESA-Torch with the following command: pip install diresa-torch
Documentation
The DIRESA documentation can be found on Read the Docs
Paper
The DIRESA paper can be found here
Files
diresa-torch.zip
Files
(6.8 MB)
| Name | Size | Download all |
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md5:f3bfd44088089e6165345190146ce52c
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6.8 MB | Preview Download |
Additional details
Software
- Repository URL
- https://gitlab.com/etrovub/ai4wcm/public/diresa-torch
- Programming language
- Python