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bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

conditional-gan

Tensorflow implement for Conditional convolutional adversarial networks.

darknet

YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan_code

Deep Convolutional Generative Adversarial Networks

draw_convnet

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-models

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

improved-gan

Code for the paper "Improved Techniques for Training GANs"

learn-to-identify-similar-images

Record my python script about Iearning to identify similar images

python

All Algorithms implemented in Python

semi-supervised-gan

There is the semi-supervised implement of 'Improved Techniques for Training GANs '

shuang

Nothing to say!

tensorflow-cdcgan

A short Conditional DCGAN tensorflow implementation.

tensorflow-mnist-cgan-cdcgan

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

wassersteingan

wavegan

WaveGAN: using GANs to synthesize raw audio