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wasserstein-autoencoder

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Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow

  • UpdatedMar 28, 2019
  • Jupyter Notebook

This research project intent is to review and demonstrate a comparability among recent auto-encoder methods by utilizing single architecture and resolution. Each method will be ranked based on selective performance measure in modeling healthy brain and the sensitivity towards domain shift.

  • UpdatedJan 29, 2021
  • Python

Wasserstein Autoencoders implementation in Tensorflow 2

  • UpdatedAug 2, 2020
  • Python

This is the code implementation of our research paper in AICAI '19 Dubai.

  • UpdatedAug 9, 2020
  • Jupyter Notebook

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