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1. Variational-Approaches-for-Auto-Encoding-Generative-Adversarial-Networks Variational-Approaches-for-Auto-Encoding-Generative-Adversarial-Networks Public

   An implementation to reproduce the results presented in Alpha GAN paper.

   Python 6 3

2. -Auto-Encoding-Variational-Bayes-aka-VAE -Auto-Encoding-Variational-Bayes-aka-VAE Public

   A tensorflow implementation of Variational autoencoder. We present the results on real world datasets, namely; celebA and Mnist dataset.

   Python 3 3

3. Autoencoding-beyond-pixels-using-a-learned-similarity-metric Autoencoding-beyond-pixels-using-a-learned-similarity-metric Public

   A tensorflow implementation of VAE-GAN. This is the first approach which viewed the discriminator as a loss function to improve.

   Python 3 1

4. TorchAL TorchAL Public

   Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.

   Jupyter Notebook 64 7

5. Adversarial-Domain-Adaptive-Autoencoders Adversarial-Domain-Adaptive-Autoencoders Public

   It was a course project where we proposed to use autoencoders with adversarial penalty for domain adaptation.

   Python

6. Wasserstein-Autoencoders Wasserstein-Autoencoders Public

   An implementation of Wasserstein Autoencoder paper.

   Python 1