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3d-gan-superresolution

3D super-resolution using Generative Adversarial Networks

bicyclegan

[NIPS 2017] Toward Multimodal Image-to-Image Translation

cgan

李宏毅GAN课程cGAN动漫人物生产实现代码(含图片)

cgan-mnist

这是利用条件GAN(CGAN)实现生成MNIST图像的代码

cgan-pytorch

Pytorch Implementation of CGAN

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

hybridporousfoam

lbpm

Pore scale modelling

microstructures

Implementing different approaches for microstructure synthesis

neural_rock_typing

Can machines help us understand how to distinguish rock types?

porefoam

Direct pore-scale simulation of single- and two-phase flow through confined media (alpha-release / experimental)

porousmedia4foam

porousmediagan

Reconstruction of three-dimensional porous media using generative adversarial neural networks

pytorch-conditional-gans

Implementation of Conditional Generative Adversarial Networks in PyTorch

pytorch-cyclegan-and-pix2pix

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

pytorch-gans

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

pytorch-tutorial-1

PyTorch Tutorial for Deep Learning Researchers

super_resolution_with_cnns_and_gans

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

the-gan-zoo

A list of all named GANs!

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"