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Update README.md: added checks for LIME and RISE #611

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merged 5 commits into from
Jun 1, 2023

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@elboyran elboyran commented Jun 1, 2023

Indicated there are tutorials for LIME and RISE for time-series.
Updated tutorials table
Updated generic text Why DIANNA? Key points
Added time-series datasets

Solves issue #601

Indicated there are tutorials for LIME and RISE for time-series
@elboyran elboyran self-assigned this Jun 1, 2023
@elboyran elboyran linked an issue Jun 1, 2023 that may be closed by this pull request
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@geek-yang geek-yang marked this pull request as ready for review June 1, 2023 08:42
@geek-yang geek-yang marked this pull request as draft June 1, 2023 08:44
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Sorry please ignore my operation. Just choose the wrong branch and misclick a few things.

Updated the Key points text.
Updated Tutorials table for all modalities.
Updated the ONNX model section with time series
@elboyran elboyran requested a review from stefsmeets June 1, 2023 13:11
@elboyran elboyran marked this pull request as ready for review June 1, 2023 13:11
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Looks good to me! 🚀

@@ -71,7 +71,7 @@ The key points of DIANNA:
* Implements well-known XAI methods (LIME, RISE and Kernal SHAP) chosen by systematic and objective evaluation criteria
* Supports the de-facto standard format for neural network models - ONNX.
* Includes clear instructions for export/conversions from Tensorflow, Pytorch, Keras and scikit-learn to ONNX.
* Supports both images and text data modalities. Time series is work in progress, tabular data and even embeddings support is planned.
* Supports images, text and time series data modalities. Tabular data and even embeddings support is planned.
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Suggested change
* Supports images, text and time series data modalities. Tabular data and even embeddings support is planned.
* Supports images, text and time series data modalities. Tabular data and embeddings support are planned.

@elboyran elboyran merged commit 27133c5 into main Jun 1, 2023
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@elboyran elboyran deleted the 601-updating-README-with-time-series branch June 1, 2023 15:26
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Update datasets, ONNX and Tutorial's section on the main README
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