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adversarialnetspapers

The classical papers and codes about generative adversarial nets

began-pytorch

in progress

began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

beganpytorch

deform-conv

Deformable Convolution in TensorFlow / Keras

espcn-tensorflow

An implementation of the Efficient Sub-Pixel Convolutional Neural Network in TensorFlow

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

pytorch-vdsr

VDSR pytorch implementation

really-awesome-gan

A list of papers on General Adversarial (Neural) Networks

selfexsr

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

srgan

A tensorflow implemenation of Christian et al's SRGAN(super-resolution generative adversarial network)

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

super-resolution

Replicate study for 'Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network' with tensorflow

super-resolution-using-generative-adversarial-networks

An implementation of SRGAN model in Keras

super-resolution.benckmark

Benchmark and resources for single super-resolution algorithms

superres

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

tf-tutorials

A collection of deep learning tutorials using Tensorflow and Python

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.