Implementation of recent Deep Learning papers
Papers
-
Densely Connected Convolutional Network implemented in the DenseNet folder
-
Visualizing and Understanding Convolutional Networks implemented in the DeconvNet folder
-
Densely Connected Recurrent Convolution Network implemented in the DenseRecNet folder
-
Improving Stochastic Gradient Descent With Feedback implemented in the Eve folder
-
Colorful Image Colorization implemented in the Colorful folder
-
Deep Feature Interpolation for Image Content Changes implemented in the DFI folder
-
Several Generative Adversarial Networks (GAN) models and techniques in the GAN folder
-
pix2pix in the pix2pix folder
-
InfoGAN in the InfoGAN folder
-
WassersteinGAN in the WassersteinGAN folder and WGAN-GP folder for a tensorflow implementation.
-
BEGAN in the BEGAN folder