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awesome-deep-learning-papers

The most cited deep learning papers

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

cdcgan

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

compare_initializers

Comparison of various weight and bias initializers

cyclegan

PyTorch implementation of CycleGAN

dcgan

PyTorch implementation of DCGAN

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-painterly-harmonization

Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

dml-nngk

Deep metric learning with nearest neighbour Gaussian kernel

dualgan

PyTorch implementation of DualGAN

face_toolbox_keras

A collection of deep learning frameworks ported to Keras for face analysis.

gan_testbed

Testbed for GAN collections

gans

Study Generative Adversarial Networks

girlsmanifold

An attempt to replicate make.girls.moe using PyTorch

illustration2vec

A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.

keras-adversarial

Keras Generative Adversarial Networks

lpips-tf2.x

moo-dl-practice

my deep learning practices

pggan

pix2pix

PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)

pyqt

Studying PyQt

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

pytorch-super-resolution-model-collection

Collection of Super-Resolution models via PyTorch

pytorchneuralstyletransfer

Implementation of Neural Style Transfer in Pytorch

pytorchwct

This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-generative-model-collections

Collection of generative models in Tensorflow