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First, thank for all your work for this very excellent package! It's very easy to use and produces insightful plots that have been proving useful in my day-to-day work.
I'm currently working on a …
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Hi all,
I have an issue regarding using Captum for Grayscale CIFAR10 with the ResNet18.
I used the example from the tutorial: "Interpreting vision with CIFAR"
However, I have errors during the exec…
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Submitting Author: Elena Ranguelova (@elboyran)
Package Name: dianna
One-Line Description of Package: an eXplainable AI (XAI) python library targeted at scientists
Repository Link (if existing): …
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Hi,
I would like to use DeepLIFT for my finetuned models (Resnet, Densenet etc.), however it was only working with DeepLIFTRules.NoRule.
My dataset consist of RGB images (254, 254, 3). In example …
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Some explainers, like `CV_INPUT_X_GRADIENT_EXPLAINER` are deterministic, and some like `CV_DEEPLIFT_EXPLAINER`, `CV_GRADIENT_SHAP_EXPLAINER` are not deterministic. It would be nice to divide explainer…
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Hi there
Ran into an error when running the contrib function where in `importance_hdf5_to_bigwig.py`
```
Traceback (most recent call last):
File "/net/gs/vol1/home/tli824/bin/software/chrombpn…
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Hi,
Currently, the project seems to be relying on grad-norm and grad-x-input to obtain the attributions. However, there are other arguably better (as discussed in recent [work](https://arxiv.org/abs…
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Given that ACGT are represented by one-hot encoding [1,0,0,0], [0,1,0,0], [0,0,1,0], and [0,0,0,1] respectively, each element in the encoding is assigned a DeepLIFT score (each nucleotide gets 4 score…
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## 🐛 Bug Report
The output tensor .source_attributions in FeatureAttributionSequenceOutput is of type float64 when using "integrated_gradients" method, rather than the expected float32.
## 🔬 …
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Hi,
First of all many thanks for this great package! I have been using iNNvestigate to perform LRP on keras models successfully. However, I recently upgraded tensorflow from version 1.14 to version 2…