Shaoan Xie's repositories

Moving-Semantic-Transfer-Network

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation

santa

Unpaired Image-to-Image Translation with Shortest Path Regularization

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IrwGAN

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

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Open_set_domain_adaptation

Tensorflow Implementation of open set domain adaptation by backpropagation

Decent

Unpaired Image Translation, Neurips2022

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i-stylegan

Multi-domain image generation and translation with identifiability guarantees

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evaluation_on_cityscapes

The code to evaluate on label2city task.

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gan-manifold-reg

This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning

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mid-push.github.io

A simple and elegant Jekyll theme for an academic personal homepage

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supervised_blur_kernel_estimation

If you have the original image and the blurred image, you can use this code to estimate the blur kernel.

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a.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

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dirt-t

A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)

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GAN-MNIST

Generative Adversarial Network for MNIST with tensorflow

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hugo-academic

The website builder for Hugo. Build and deploy a beautiful website in minutes :rocket:

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Keras-MNIST-GAN

Simple Generative Adversarial Networks for MNIST data with Keras.

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marvel-finetuning

Finetuning AlexNet, VGGNet and ResNet for MARVEL dataset with TensorFlow

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mid-push.github.io3

A beautiful, simple, clean, and responsive Jekyll theme for academics

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models

Models built with TensorFlow

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Multiple-GAN-Tensorflow-Mnist

Implement multiple gan including vanilla_gan, dcgan, cgan, infogan and wgan with tensorflow and dataset including mnist.

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pytorch-CycleGAN-and-pix2pix

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

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tensorflow-MNIST-GAN-DCGAN

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

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transferlearning

Resources and codes about transfer learning and domain adaptation--迁移学习

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vat_tf

Virtual adversarial training with Tensorflow

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vimrc

The ultimate Vim configuration: vimrc

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Xlearn

Transfer Learning Library

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