Topic: dc-gan Goto Github
Some thing interesting about dc-gan
Some thing interesting about dc-gan
dc-gan,A very simple and plain DC GAN to generate Image Flower Pictures out of the dataset.
User: abhaskumarsinha
dc-gan,Generating fake images using DC-GANs
User: cuongpiger
dc-gan,Implementations of GANs in PyTorch for Pokemon image generation
User: frgfm
dc-gan,My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
User: gordicaleksa
Home Page: https://youtube.com/c/TheAIEpiphany
dc-gan,Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.
User: kochlisgit
dc-gan,Generation of images from NORB dataset using DC-GAN
User: shashanktyagi
dc-gan,a collection of different Generative Adversarial Network models
User: soapisnotfat
Home Page: http://blog.zijinluo.com/2018-01-24/Generative-Adversarial-Network/
dc-gan,Implemented Vanilla RNN and LSTM networks, combined these with pretrained VGG-16 on ImageNet to build image captioning models on Microsoft COCO dataset. Explored use of image gradients for generating new images and techniques used are Saliency Maps, Fooling Images and Class Visualization. Implemented image Style Transfer technique from 'Image Style Transfer Using Convolutional Neural Networks'. Implemented and trained GAN, LS-GAN and DC-GAN on MNIST dataset to produce images that resemble samples from MNIST, DC-GAN gave best resembling images.
User: srinadhu
Home Page: http://cs231n.github.io/assignments2018/assignment3/
dc-gan,Train a DCGAN model on Colaboratory to generate Steam banners.
User: woctezuma
Home Page: https://colab.research.google.com/
dc-gan,Implement Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks(DCGAN)
User: yskim0
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