Update README.md #372
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Update README.md #372
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addresses issue #336
cwmeijer
approved these changes
Oct 19, 2022
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| * Provides an easy-to-use interface for non (X)AI experts | ||
| * 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, tabular data and even embeddings support is planned. | ||
| * Supports both images and text data modalities. Time series is work in progress, tabular data and even embeddings support is planned. |
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| * Supports both images and text data modalities. Time series is work in progress, tabular data and even embeddings support is planned. | |
| * Supports images and text data modalities. Work on both time series and embeddings modalities is in progress. Support for tabular modality is planned for later. |
| @@ -43,13 +43,20 @@ DIANNA is a Python package that brings explainable AI (XAI) to your research pro | |||
| It's built by, with and for (academic) researchers and research software engineers working on machine learning projects. | |||
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| ## Why DIANNA? | |||
| DIANNA software is addressing needs of both (X)AI researchers and mostly the various domains scientists who are using or will use AI models for their research without being experts in (X)AI. DIANNA is future-proof: the only XAI library supporting the [Open Neural Network Exchange (ONNX)](https://onnx.ai/) format. | |||
| DIANNA software is addressing needs of both (X)AI researchers and mostly the various domains scientists who are using or will use AI models for their research without being experts in (X)AI. DIANNA is future-proof: one of the very few XAI library supporting the [Open Neural Network Exchange (ONNX)](https://onnx.ai/) format. | |||
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| DIANNA software is addressing needs of both (X)AI researchers and mostly the various domains scientists who are using or will use AI models for their research without being experts in (X)AI. DIANNA is future-proof: one of the very few XAI library supporting the [Open Neural Network Exchange (ONNX)](https://onnx.ai/) format. | |
| DIANNA software is facilitates both (X)AI researchers and domain scientists who want to use AI models for their research without being experts in (X)AI. DIANNA is future-proof: one of the very few XAI library supporting the [Open Neural Network Exchange (ONNX)](https://onnx.ai/) format. |
Some changes to make it read easier (I hope).
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addresses issue #336