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2018-dlai-team10

bitcoin-order-app

bitcoin-order-app

catgan_pytorch

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

deeplearning-models

各种深度学习结构、模型和技巧的集合

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

doodle-detector

Web app to detect user hand-drawn sketches on a canvas. Using google's quickdraw dataset. App built using python with flask and keras API.

gans-with-pytorch

Various implementations of Generative adversarial networks using Pytorch

google_quickdraw_implementation

Quick Draw Implementation that recognize the Doodles and the Shapes you Feed into System.

improved-wgan-pytorch

Improved WGAN in Pytorch

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

projecta

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

pytorch-sketch-rnn

a pytorch implementation of https://arxiv.org/abs/1704.03477

pytorch-studiogan

StudioGAN is a Pytorch library providing the implementation of representative Generative Adversarial Networks (GANs) for conditional/unconditional image synthesis.

quickdraw

Implementation of Quickdraw - an online game developed by Google

quickdraw-1

A simple implementation of Google's Quick, Draw Project for humans.

sketch-rnn-gan

GAN fasion of Sketch RNN

stackannotation

StackAnnotation for Ant build

stackannotationmaven

This is StackAnnotationMaven

tensorflow_input_image_by_tfrecord

Feed your own image data to a pre-trained network by tensorflow

the-gan-zoo

A list of all named GANs!

torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

triple-gan

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

triple-gan-1

Pytorch for Triple-GAN

workshop