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Hi,
I'm currently using the very useful package recipes to define data transformations. If I make transformations on the outcome variables, the predict function returns the prediction of the trans…
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# In a Nutshell
The `statespace` module has a general abstract class [`Preconditioner`](https://probnum.readthedocs.io/en/latest/automod/probnum.statespace.Preconditioner.html#probnum.statespace.Prec…
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1. **this**
2. **immutable** data objects using a linter
3. **immutable** objects and **collections**
4. data transformations using core operations like **filter, map, sort, or reduce**
5. use sta…
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Change translate/scale/rotate to structural tagging/datatypes instead of actually computing transformations on each vertex.
This can not only be used to optimise certain operations, but can have diffe…
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[ ] I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug.
I was using the old version of Ragas to generate the evaluation data but it is not …
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## Motivation
Currently, `adjust_contrast` function in `torchvision.transformations.functional_tensor` only works for 3-channel (=RGB) tensors. However, I would like to change the contrast of a 1-c…
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When debugging vision models, it is often useful to be able to map predicted bounding boxes, segmentation masks, or keypoints back onto the original image. To do this conveniently, each transformation…
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Up until now, we've been sketching and calculating expected values for unit tests by hand. Once we get the core functionality of SPI2py working we should add actual visualization.
For instance, in …
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UFE outliner display was hard coded to follow the usdview standard of showing the children of instanced prims. This works for what is functionally a read only tool but when authoring transformations a…
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Currently when deleting a transformation the user is presented with a modal.
The explanatory text in the modal is accurate, however a problem arises in that it's common to experiment with trans…