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dianna package: eXplainable AI for ONNX models (XAI4ONNX) (#291)
* Update README.md Added link to the dianna (XAI for ONNX models) overview tutorial. Signed-off-by: Elena Ranguelova <E.Ranguelova@esciencecenter.nl> Signed-off-by: elboyran <e.ranguelova@esciencecenter.nl> * added the overview tutorial for the dianna package: eXplaianble AI for ONNX models Signed-off-by: elboyran <e.ranguelova@esciencecenter.nl> * fixing url links; removing logos with insecure links Signed-off-by: Ranguelova Elena <E.Ranguelova@esciencecenter.nl> * removing insecure URLs Signed-off-by: Ranguelova Elena <E.Ranguelova@esciencecenter.nl> --------- Signed-off-by: Elena Ranguelova <E.Ranguelova@esciencecenter.nl> Signed-off-by: elboyran <e.ranguelova@esciencecenter.nl> Signed-off-by: Ranguelova Elena <E.Ranguelova@esciencecenter.nl>
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README.md

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@@ -105,7 +105,9 @@ Tutorials demonstrating how to use ONNX in practice for varied scenarios across
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* [Float16 <-> Float32 converter](https://github.com/onnx/onnx-docker/blob/master/onnx-ecosystem/converter_scripts/float32_float16_onnx.ipynb)
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* [Version conversion](tutorials/VersionConversion.md)
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## Application of ONNX
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* [Explainable AI for ONNX models](tutorials/XAI4ONNX_dianna_overview.ipynb)
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## Contributing
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We welcome improvements to the convertor tools and contributions of new ONNX bindings. Check out [contributor guide](https://github.com/onnx/onnx/blob/main/CONTRIBUTING.md) to get started.

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