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autotab

Variational Autoencoders for Heterogeneous Tabular Data

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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VersionRepositoryFileSize
1.0 2026-04-09 windows/windows R-4.5 autotab_1.0.zip 201.1 KiB

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