Elena Ranguelova

LeafSnap30 model

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# Leaf Snap30 ## Description Description of model - What task does it address (i.e. object detection, image classification)? What is the main advantage or feature of this model's architecture?...

Updating key-poitns of dianna

Add table/section on the scientific usecases to the READMEs

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- [x] Mention scientific tutorials in the key-points of dianna - [x] Update README on tutorials and data/explainer plans - [x] A separate table in the main README with these...

Update tutorial notebooks with direct data and model downloads (when possible)

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See Leon's nice tutorial on RFB case #707 on how to download directly from Zenodo. See also the _text in italics_ below. ### `tutorials` ├── README.md ├── conversion_onnx │   ├──...

In response to Pranav's suggestion about maskers. I think putting them in utils is not ideal. I think the maskers should get a more prominent place in the package structure....

Text experiements: test sentiments

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Design a list of at least 25 positive and negative words using the sentiment scale of the [Stanford sentiment treebank](https://nlp.stanford.edu/sentiment/treebank.html?na=3&nb=5). One way to find out the sentiments is to use...

Enable DIANNA to work with (image) models which take more than 1 input.

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DIANNA should be able to run on models with more than 1 input. Inspired by the Lorentz workshop CNN-post-processing use case. For example data and quick fix, see the link...

Follows from #406

Enable DIANNA to take images with multiple channels as input

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DIANNA should be able to process images as inputs and models trained with more than 3 (e.g. RGB) channels. Inspired by the Lorentz workshop CNN-post-processing use case. For example data...

follows from #406 Related to the prepared model for the Coffee dataset (#385)