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Links to Explainable embeddings #868
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elboyran
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Nov 7, 2024
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- Link to the RSD page for the explainable embedding software.
- Update the roadmap.
- Update documentation
Added link to the RSD page for the explainable embedding software.
Added embedding in the key points.
Remove the embeddings, update the plans (if ever funding is found...)
I've also updated the RSD software page. |
Updated documentation link |
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Thanks for adding the link! I corrected the link to the repo and did a textual suggestion.
Co-authored-by: Christiaan Meijer <c.meijer@esciencecenter.nl>
Co-authored-by: Christiaan Meijer <c.meijer@esciencecenter.nl>
@@ -75,7 +75,7 @@ The key points of DIANNA: | |||
* Implements well-known XAI methods LIME, RISE and KernelSHAP, chosen by systematic and objective evaluation criteria | |||
* Comes with a dashboard where results of different explainers can be compared for all data types | |||
* Supports the de-facto standard of neural network models - ONNX | |||
* Supports images, text, time series, and tabular data modalities, embeddings are currently being developed | |||
* Supports images, text, time series, tabular data modalities and embeddings (in a related [package](https://github.com/dianna-ai/explainable_embedding)) |
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* Supports images, text, time series, tabular data modalities and embeddings (in a related [package](https://github.com/dianna-ai/explainable_embedding)) | |
* Supports images, text, time series, tabular data modalities and embeddings (in a related package, [distance_explainer](https://github.com/dianna-ai/distance_explainer)) |
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I saw one more link that needed updating to our distance_explainer repo (see suggestion/comment). Please commit that one as well before merging.
Thanks for this PR!