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hi, thanks for releasing your wonderful work! the depth networks mentioned in your paper is PSMnet. Howerver, its output is not scale-aware. So have you post-processed the depth map before reconstruct…
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### Motivation and description
Group equivariant CNN (G-CNN) embed rotation invariance or (and) scale invariance on top of translation invariance in CNNs.
Some references:
- [Group Equivariant Conv…
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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## Basic RNNs
Ch. 10: Sequence Modeling: Recurrent and Recursive Nets
Goodfellow et al.
https://www.deeplearningbook.org/
> Accessible blog post
Chris Olah
http://colah.github.io/posts/201…
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Spaun scale models are large and adding good ways to visualize the results for long runs and complex networks would enormously help development and analysis of these kinds of models.
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To get the correct segmentation it's important that the objects on the new image are approximately the same size as in the training data. This doesn't necessarily mean that the voxel size should be th…
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### Checklist
- [X] The issue exists after disabling all extensions
- [X] The issue exists on a clean installation of webui
- [ ] The issue is caused by an extension, but I believe it is caused by a …
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# Self-Normalizing Neural Networks #
- Author: Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
- Origin: https://arxiv.org/abs/1706.02515
- Related:
- https://github.com/bi…
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**Problem description**
In the workshop, participants should be able to login to their own vantage6 environment with the UI and do stuff.
**Desired solution**
For creating analyses:
- [ ] One …
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Thank you for the library. I am curious if we can use both the libraries to write functions in the same model (say, many FC layers with the output layer is a DenseKAN). If this is not the case, would …