8000
We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.
You must be logged in to block users.
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Invert a pre-trained GAN model (includes code for training a GAN on celebA)
Jupyter Notebook 84 13
Conditional Autoencoders with Adversarial Information Factorization
Jupyter Notebook 72 13
Denoising Adversairal Autoencoders
Jupyter Notebook 40 6
Demonising Adversarial Auto-encoder in PyTorch
Jupyter Notebook 24 4
A very simple convolutional autoencoder implemented in lasagne, applied to MNIST as an example
Python 20 5
Python 8 2
There was an error while loading. Please reload this page.