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adversarialnetspapers

The classical papers and codes about generative adversarial nets

blindsr

caffe-blvc

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

dcgan-tensorflow

A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

dcgan_vae_torch

An implementation of the deep convolutional generative adversarial network, combined with a varational autoencoder

deep-image-matting

This is tensorflow implementation for paper "Deep Image Matting"

densenet

Code for Densely Connected Convolutional Networks (DenseNets)

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

edsr-tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

eyescream

natural image generation using ConvNets

fsrcnn-tensorflow

An implementation of the fast super-resolution convolutional neural network in TensorFlow

highway-networks

An implementation of Highway Networks in Caffe

hypergan

A versatile GAN(generative adversarial network) implementation. Focused on scalability and ease-of-use.

image-super-resolution

Implementation of Super Resolution CNN in Keras.

improved-gan

code for the paper "Improved Techniques for Training GANs"

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

masktrackrcnn

MaskTrackRCNN for video instance segmentation based on mmdetection

matnn

mlclass

Python code for Machine Learning course from Coursera

neural-enhance

Super Resolution for images using deep learning.

pg_gmm_training_sr_v2

photo-realistic-super-resoluton

Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

pix2pix

Image-to-image translation using conditional adversarial nets

pix2pix-tensorflow

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks"

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-srresnet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802v2