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## 🚀 Feature
Hello, I'm using kornia to work with MRI images for the auto-differentiation feature but out of the deep-learning context. It came super usefull to not re-implement every thing.
So I…
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- [ ] I don't think there much of a speed difference between D and Nim when GC'ed types are not involved for general code.
- [ ] One perf gotcha is that by default Nim seq and strings have value se…
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How likely can we incorporate machine learning (ML) into mars-sim ?
In neural network, a brain is no different than a 2-D decision matrix with weights that signify the strength between interconnect…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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Imo we ought to think about a consistent policy of including deep learning packages in the dependency sets. Currently we're inconsistent there.
Packages in question:
* `pytorch`, major backend
…
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### Describe the bug
Hi,
I recognized that training EfficientAd via API like:
```python
# Import the required modules
from anomalib.data import MVTec
from anomalib.models import EfficientAd
…
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How about supporting ONNX in frugally? You could have a protobuf importer for ONNX models or add a tool which converts ONNX to the JSON format you use? Just a thought. A header only ONNX inference eng…
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This package is wonderful. Thank you to all contributors working on it! Is there any additional way I support `zustand`?
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3D convolutions are important too!
Like 2D images in nature, 3D Volume data is very common, such as medical CT and MRI data, where voxels are uniformly distributed in 3D space.
The medical and …