Fugui Liu's repositories
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
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)
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"