Comments (2)
I can make an attempt. Will start with numpy on a new branch.
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I have made an implementation with numpy backend in this PR: #28
However, it depends on spams
, and hence, some work likely still remains.
If spams
will be added, implementing the tf and pytorch backends should be trivial, as the main challenges rely on the two tasks that spams
solves.
For more information, see the aforementioned PR.
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Related Issues (20)
- Multiple backends support HOT 7
- Update runtimes HOT 2
- Conda compatibility?
- Update About and tags HOT 1
- Fix tf implementaton of percentile HOT 1
- Releases not showing anymore?
- Support for Reinhard HOT 2
- Support for Modified Reinhard HOT 5
- Support for Jax HOT 24
- Support for torch.linalg.lstsq HOT 3
- Crash when calling MacenkoNormalizer.fit with tensorflow backend HOT 12
- Whole Slide Images HOT 7
- Add stain augmentation alternative HOT 1
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- No GPU acceleration in torch backend
- Typo in rgb2lab transform HOT 2
- IndexError: kthvalue(): Expected reduction dim 0 to have non-zero size. HOT 3
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