dataeval.utils.models¶

Simple PyTorch model architectures used by DataEval.

Classes¶

`AE`	An autoencoder model with a separate encoder and decoder.
`Decoder`	A simple decoder to be used in an autoencoder model.
`Encoder`	A simple encoder to be used in an autoencoder model.
`GMMDensityNet`	Gaussian Mixture Model (GMM) density network for converting latent representations.
`VAE`	Variational Autoencoder model with separate encoder and decoder.
`VAEDecoder`	Variational Autoencoder Decoder.
`VAEEncoder`	Variational Autoencoder Encoder that outputs mean and log-variance.