PyTorch implementations of Generative Adversarial Networks.

Author: endymecy

applications.md

@@ -54,7 +54,7 @@
     - [PyTorch Implementation of Autoencoding Variational Inference for Topic Models](https://github.com/hyqneuron/pytorch-avitm)
     - [PyTorch implementation of convolutional networks-based text-to-speech synthesis models](https://github.com/r9y9/deepvoice3_pytorch)
     - [PyTorch Implementation of CycleGAN and SGAN for Domain Transfer](https://github.com/yunjey/mnist-svhn-transfer)
-    - [PyTorch implementations of Generative Adversarial Networks.](https://github.com/eriklindernoren/PyTorch-GAN)
+    - [PyTorch implementations of Generative Adversarial Networks.](https://github.com/eriklindernoren/PyTorch-GAN) :star:
     - [PyTorch implementation of Fully Convolutional Networks](https://github.com/wkentaro/pytorch-fcn)
     - [Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing](https://github.com/milesial/Pytorch-UNet)
     - [Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution](https://github.com/ceshine/fast-neural-style)