pytorch-adapt
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KevinMusgrave
Domain adaptation made easy. Fully featured, modular, and customizable.
I would like to run on my own dataset, and also, print the accuracy on the source and target domains. In the paper implementations, I don't see any accuracy metric....
https://github.com/computationalmodelling/nbval
The original OfficeHome dataset has very large images, so I downscaled them so that the shortest side is 256 pixels, but this isn't mentioned anywhere in the docs or the...
It should take in 3 datasets: - source - labeled target - unlabeled target
Right now it's hardcoded to use `src_logits`. Adding a domain parameter (set to either `src` or `target`) would allow CLossHook to be used for supervised domain adaptation as well. https://github.com/KevinMusgrave/pytorch-adapt/blob/3b2713c4860b325c79481f11307a193bb381d53f/src/pytorch_adapt/hooks/classification.py#L75-L88
...to avoid collisions
### Suggested Feature The Lightning class could be extended to include two more functions 1. test_step 2. test_epoch_end ### Implementation The test_step and test_epoch end could operate in the same...
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Domain adaptation made easy. Fully featured, modular, and customizable.