hnjzlishuang

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

DAM

code and data for DAM (Domain adaptation from multiple sources: A domain-dependent regularization approach)

data

DeepDomainAdaptation

deep domain adaptation

DTLC

kaggle-cifar10-torch7

Code for Kaggle-CIFAR10 competition. 5th place.

keyvalue

MMD

MMD and Relative MMD test

PRDA

code and data for PRDA

TJM-cvpr14-LongMingsheng

TJM-cvpr14-LongMingsheng

hnjzlishuang/DTLC

hnjzlishuang/TJM-cvpr14-LongMingsheng

TJM-cvpr14-LongMingsheng

hnjzlishuang/conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

hnjzlishuang/DAM

code and data for DAM (Domain adaptation from multiple sources: A domain-dependent regularization approach)

hnjzlishuang/PRDA

code and data for PRDA

hnjzlishuang/data

hnjzlishuang/DeepDomainAdaptation

deep domain adaptation

hnjzlishuang/kaggle-cifar10-torch7

Code for Kaggle-CIFAR10 competition. 5th place.

hnjzlishuang/keyvalue

hnjzlishuang/MMD

MMD and Relative MMD test

hnjzlishuang/mnist-svhn-transfer

PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

hnjzlishuang/pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

hnjzlishuang/pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)