tdeboissiere/DeepLearningImplementations

Implementation of recent Deep Learning papers

Python

1,812

5 commits

updated Oct 23, 2020

See the code

README

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
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
Scaling the Scattering Transform: Deep Hybrid Networks in the ScatteringTransform folder
Sobolev Training for Neural Networks in the Sobolev folder
Self-Normalizing Networks in the SELU folder

deep-learning-papers

Contributors

1 commits

1 commits

1 commits

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tdeboissiere/DeepLearningImplementations

Implementation of recent Deep Learning papers

Python

1,812

5 commits

updated Oct 23, 2020

See the code

README

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
Improving Stochastic Gradient Descent With Feedback implemented in the Eve folder
Colorful Image Colorization implemented in the Colorful folder
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