Gan TutorialSimple Implementation of many GAN models with PyTorch.
FactorvaePytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Msg Gan V1MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)
Tf Exercise GanTensorflow implementation of different GANs and their comparisions
Interpretability By PartsCode repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
Celebamask HqA large-scale face dataset for face parsing, recognition, generation and editing.
Began TensorflowTensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
Tf.gans ComparisonImplementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Disentangling VaeExperiments for understanding disentanglement in VAE latent representations
Pytorch Mnist Celeba Gan DcganPytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Pytorch Mnist Celeba Cgan CdcganPytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Alae[CVPR2020] Adversarial Latent Autoencoders
style-vaeImplementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
gan-error-avoidanceLearning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
cDCGANPyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)
DCGAN-PytorchA Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"