Pinned

1. AE-w.-Bottleneck-Residual-Blocks AE-w.-Bottleneck-Residual-Blocks Public

   A CNN based autoencoder with Bottleneck Residual blocks on cifar10. May add perceptual loss and/or try out different loss functions later, will use L2 as the default.

   Jupyter Notebook 1

2. Beta-VAE-on-MNIST Beta-VAE-on-MNIST Public

   Studying the effect of varying beta (coefficient of the KL term) in a beta-VAE on the MNIST dataset

   Jupyter Notebook 2

3. L2-vs-L1-vs-CB-loss-in-deep-CNN-based-AE-on-cifar10 L2-vs-L1-vs-CB-loss-in-deep-CNN-based-AE-on-cifar10 Public

   Comparing performance of AE and VAE using the Continuous Bernoulli loss and using mse loss, on the unlabelled part of the stl10 image dataset

   Jupyter Notebook 2

4. QRdecomp QRdecomp Public

   QR decomposition of matrices

   Python 1