Diresa - distance-regularized siamese twin autoencoder
Project description
DIRESA
Overview
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
Documentation
The DIRESA documentation can be found on Read the Docs
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