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dann_py3's Introduction

This is a pytorch implementation of the paper Unsupervised Domain Adaptation by Backpropagation

Environment

  • Pytorch 1.0
  • Python 3.7

Network Structure

p8KTyD.md.jpg

Dataset

First, download target dataset mnist_m from pan.baidu.com fetch code: kjan or Google Drive

cd DANN_py3
mkdir dataset
cd dataset
mkdir mnist_m
cd mnist_m
tar -zvxf mnist_m.tar.gz
mkdir models

Training

Then, run python main.py

Docker

  • build image
docker build -t pytorch_dann .
  • run docker container
docker run -it --runtime=nvidia \
  -u $(id -u):$(id -g) \
  -v /YOUR/DANN/PROJECT/dataset:/DANN/dataset \
  -v /YOUR/DANN/PROJECT/models:/DANN/models \
  pytorch_dann:latest \
  python main.py

dann_py3's People

Contributors

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Watchers

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