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A PyTorch implementation for paper Unsupervised Domain Adaptation by Backpropagation
deep-learningdomain-adaptationpytorch
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pytorch-dann-resnet/datasets
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wogong 7ffd03ff34
fix lr, add relu to the last conv layer, add l2 norm, add dropout. da result to 60%, source only result to 52%.
6 years ago
..
__init__.py initial commit 7 years ago
gtsrb.py fix lr, add relu to the last conv layer, add l2 norm, add dropout. da result to 60%, source only result to 52%. 6 years ago
mnist.py remove params.py, add split task file, etc. 7 years ago
mnistm.py remove params.py, add split task file, etc. 7 years ago
office.py reorganize file. 7 years ago
officecaltech.py remove params.py, add split task file, etc. 7 years ago
svhn.py remove params.py, add split task file, etc. 7 years ago
synsigns.py fix lr, add relu to the last conv layer, add l2 norm, add dropout. da result to 60%, source only result to 52%. 6 years ago
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