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Autoencoders

Simple implementations of different basic autoencoder schemes

Types

  • Basic Autoencoder (AE)
  • Denoising Autoencoder (DAE)
  • Variational Autoencoder (VAE)
  • Disentangled Variational Autoencoder (ß-VAE)

Dependencies

PyTorch, Numpy, Visdom

Usage

Training can be started simply by navigating to a folder and running python train.py.

A visdom server must be running locally prior to starting training. Run visdom command in a separate terminal window to do so.

About

Implementations of and latent space demonstrations with autoencoders, VAEs, and ß-VAEs in PyTorch

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