domainadaptation/salad
A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
HTMLMPL-2.0
Issues
- 0
SYNTH dataset
#40 opened by lindagaw - 3
Implementation of DIRT-T
#35 opened by Solacex - 2
Questions about self-ensemble example
#38 opened by A-suozhang - 4
The Datasets SVHN
#37 opened by A-suozhang - 2
Some question about office31 sets
#36 opened by hongshen-zhang - 0
Fix pypi description file
#34 opened by stes - 0
iCubWorld Dataset
#33 opened by stes - 0
Add Travis CI builds
#32 opened by stes - 0
Add GAN / VAE implementation
#31 opened by stes - 0
Make `tqdm` optional during training
#30 opened by stes - 3
Custom dataset training
#25 opened by snarb - 0
How to do DIRT-T fine tuning?
#29 opened by mtngld - 0
Update to PyTorch 1.0
#28 opened by stes - 0
Make torchvision an optional dependency
#12 opened by stes - 1
Add Office/CalTech dataset
#20 opened by stes - 0
Fix Augmentation Loader
#24 opened by stes - 0
- 0
Improve model checkpointing
#22 opened by stes - 3
- 0
adda implementation
#19 opened by stes - 0
UNIT Implementation
#18 opened by stes - 0
JDOT Implementation
#17 opened by stes - 0
"Unit-Tests" for implemented algorithms
#16 opened by stes - 0
Refactor the noise model for self-ensembling
#15 opened by stes - 0
Add additional example scripts
#14 opened by stes - 0
Tri-Training and Related approaches
#13 opened by stes - 0
Medical imaging domain adaptation datasets
#11 opened by stes - 1
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- 0
Fix broken images on salad.domainadaptation.org
#5 opened by stes - 0
Fix descriptions in example readme files
#6 opened by stes - 0
Improve hyperparameter handling
#7 opened by stes - 0
- 0
Improve the demo notebooks
#9 opened by stes - 0
Push docs to readthedocs
#4 opened by stes - 0
Release docker container
#2 opened by stes