kartikgill / tf2-keras-gan-notebooks

Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)

TF2-Keras-GAN-Notebooks

Generative Adversarial Networks (GANs) implemented using TF2/Keras in Juypter Notebooks with Colab Links.

Topics

• Variational AutoEncoder
• Simple GAN
• DCGAN for Fashion MNIST
• DCGAN for Anime Faces
• DCGAN for Celebrity Faces
• Pix2Pix for Maps
• Pix2Pix for BnW-to-Color
• Cycle-GAN for Apples-to-Oranges
• Cycle-GAN for Horses-to-Zebras
• Context Encoder
• Disco-GAN Male vs Female
• Super Resolution or SR-GAN
• Mode Collapse Example
• Convergence Failure Example
• Conditional GAN (CGAN)
• Semi Supervised GAN (SGAN)
• InfoGAN
• Auxiliary Classifier GAN
• Pixel CNN
• Wasserstein GAN (WGAN)
• Least Squares GAN (LSGAN)
• Improved WGAN (WGAN-GP)

Implementation and Results

Variational-AutoEncoder

Notebook

Simple-GAN

Notebook

DCGAN-Fashion-MNIST

Notebook

DCGAN-Anime-Faces

Notebook

DCGAN-Celebrity-Faces

Notebook

pix2pix-BnW-to-Color

Notebook

pix2pix-Maps

Notebook

cycle-gan-Apples-to-Oranges

Notebook

cycle-gan-Horses-to-Zebras

Notebook

context-encoder

Notebook

disco-gan-male-to-female

Notebook

super-resolution-srgan

Notebook

Mode-Collapse-Failure-in-GANs

Notebook

Convergence-Failure-in-GANs

Notebook

CGAN

Notebook

Semi-Supervised-GAN-or-SGAN

Notebook

InfoGAN

Notebook

Auxiliary-Classifier-GAN-or-ACGAN

Notebook

Pixel-CNN

Notebook

Wasserstein-GAN-or-WGAN

Notebook

Least-Squares-GAN-or-LSGAN

Notebook

Improved-WGAN-or-WGAN-GP

Notebook