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wogong 7 years ago
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README.md

@ -9,19 +9,27 @@ A pytorch implementation for paper *[Unsupervised Domain Adaptation by Backpropa
## Environment ## Environment
- Python 2.7
- PyTorch 0.3.1
- Python 2.7/3.6
- PyTorch 0.3.1post2
## Result ## Result
results of the default `params.py` results of the default `params.py`
| | MNIST (Source) | USPS (Target) |
| | SVHN (Source) | MNIST (Target)|
| :--------------------------------: | :------------: | :-----------: | | :--------------------------------: | :------------: | :-----------: |
| Source Classifier | 99.140000% | 83.978495% |
| DANN | | 97.634409% |
| Source Classifier | 92.92% | 68.66% |
| DANN | | ----% |
## Other implementations
- authors(caffe) <https://github.com/ddtm/caffe>
- TensorFlow, <https://github.com/pumpikano/tf-dann>
- Theano, <https://github.com/shucunt/domain_adaptation>
- PyTorch, <https://github.com/fungtion/DANN>
## Credit ## Credit
- <https://github.com/fungtion/DANN> - <https://github.com/fungtion/DANN>
- <https://github.com/corenel/torchsharp> - <https://github.com/corenel/torchsharp>
- <https://github.com/corenel/pytorch-starter-kit>
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