visual-explanations

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yulongwang12 / visual-attribution

Pytorch Implementation of recent visual attribution methods for model interpretability

pytorch explanation excitation interpretability saliency interpretable-deep-learning xai visual-explanations model-interpretability excitation-backpropagation patternnet

Updated Feb 27, 2020
Jupyter Notebook

pbiecek / breakDown

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Model Agnostics breakDown plots

data-science machine-learning interpretability xai visual-explanations iml

Updated Apr 4, 2020
R

haofanwang / Score-CAM

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[CVPR 2020 Workshop] Official implementation of Score-CAM in Pytorch

heatmap pytorch cam saliency class-activation-maps cnn-visualization-technique gradient-free cnn-visualization visual-explanations explainability score-cam scorecam

Updated Aug 18, 2020
Python

ModelOriented / live

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Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN

machine-learning lime interpretability xai model-visualization visual-explanations iml

Updated Aug 21, 2019
R

alexandrosstergiou / Class_Feature_Visualization_Pyramid

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PyTorch code for Class Visualization Pyramid for intpreting spatio-temporal class-specific activations throughout the network

pytorch 3d-cnn visual-explanations saliency-tubes layer-wise-saliency

Updated Mar 9, 2020
Python

LLNL / fastcam

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A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.

demo deep-learning pytorch interpretability saliency explainable-ai xai gradcam cnn-visualization visual-explanations saliency-maps pytorch-gradcam

Updated Aug 21, 2020
Jupyter Notebook

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