Tutorials: Notebooks 📔
We propose here several tutorials to discover the different functionalities that the library has to offer.
We decided to host those tutorials on Google Colab
mainly because you will be able to play the notebooks with a GPU which should greatly improve your User eXperience.
Here is the lists of the availables tutorial for now:
Getting Started
| Tutorial Name |
Notebook |
| Getting Started |
 |
| Sanity checks for Saliency Maps |
|
| Times Series and Regression |
|
| Tabular data and Regression |
|
| Object detection |
|
| Semantic Segmentation |
|
| Metrics |
|
| Concept Activation Vectors |
|
| Feature Visualization |
|
Attributions
| Category |
Tutorial Name |
Notebook |
| BlackBox |
KernelShap |
|
| BlackBox |
Lime |
|
| BlackBox |
Occlusion |
|
| BlackBox |
Rise |
|
|
|
|
| WhiteBox |
DeconvNet |
|
| WhiteBox |
GradCAM |
|
| WhiteBox |
GradCAM++ |
|
| WhiteBox |
GradientInput |
|
| WhiteBox |
GuidedBackpropagation |
|
| WhiteBox |
IntegratedGradients |
|
| WhiteBox |
Saliency |
|
| WhiteBox |
SmoothGrad |
|
| WhiteBox |
SquareGrad |
|
| WhiteBox |
VarGrad |
|
|
|
|
| Tabular Data |
Regression Tabular Data |
|
| Times Series |
Regression Time Series |
|
Metrics
| Category |
Tutorial Name |
Notebook |
| Fidelity |
MuFidelity |
|
| Fidelity |
Insertion |
|
| Fidelity |
Deletion |
|
| Stability |
AverageStability |
(WIP) |
PyTorch Wrapper
| Tutorial Name |
Notebook |
| PyTorch models: Getting started |
|
| Metrics: With PyTorch models |
|
| Object detection on PyTorch model |
|
| Semantic Segmentation on PyTorch model |
|
| Category |
Tutorial Name |
Notebook |
| Labelled concept methods |
CAV + TCAV |
|
|
|
|
| Automatic concept extraction |
CRAFT Tensorflow |
|
| Automatic concept extraction |
CRAFT Pytorch |
|
Feature Visualization
| Tutorial Name |
Notebook |
| Feature Visualization: Getting started |
|
| Modern Feature Visualization: MaCo |
|