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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

Project details


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