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%.		5 years ago
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__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%.	5 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.	6 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%.	5 years ago