Diresa - distance-regularized siamese twin autoencoder
Project 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
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