De Paepe, G., & De Cruz, L. (2024). DIRESA: Distance-regularized Siamese twin autoencoder. Software, Zenodo. https://doi.org/10.5281/zenodo.10829310

@misc{237cf5011b7d469687e512541604941a,
title = "DIRESA: Distance-regularized Siamese twin autoencoder",
abstract = "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. Prerequisites The DIRESA package depends on the tensorflow and tensorflow\_probability packages. These can be installed with the following commands: pip install tensorflow pip install tensorflow\_probability Install DIRESA Install DIRESA with the following command: pip install diresa ",
author = "\{De Paepe\}, Geert and \{De Cruz\}, Lesley",
year = "2024",
month = mar,
day = "18",
doi = "10.5281/zenodo.10829310",
language = "English",
publisher = "Zenodo",
}