Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

Awesome Generative Adversarial Networks with tensorflow

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

Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.

Tensorflow implementation of Energy Based Generative Adversarial Networks (EBGAN)

Playing with MNIST. Machine Learning. Generative Models.

Pytorch implementations of GANs

This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems".

Replicated Results of Generative Adversarial Networks Papers

PyTorch implementations of Generative Adversarial Network series

Pytorch implementation of EBGAN(arxiv:1609.03126)

Standard Deep Learning Models implemented in pytorch framework

A implement of GAN-collection for tensorflow version