FactorVAE

A large-scale face dataset for face parsing, recognition, generation and editing.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Easy generative modeling in PyTorch

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

:dolls: InfoGAN: Interpretable Representation Learning

MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)