autotab
Variational Autoencoders for Heterogeneous Tabular Data
v1.0
·
Mar 25, 2026
·
MIT + file LICENSE
Description
Build and train a variational autoencoder (VAE) for mixed-type tabular data (continuous, binary, categorical). Models are implemented using 'TensorFlow' and 'Keras' via the 'reticulate' interface, enabling reproducible VAE training for heterogeneous tabular datasets.
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