We propose here several tutorials to discover the different functionnalities 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:
| Tutorial Name | Notebook |
|---|---|
| Getting Started |  |
| Tabular data and Regression | |
| Metrics | |
| Concept Activation Vectors | |
| Feature Visualization | |
| 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 | |
| Category | Tutorial Name | Notebook |
|---|---|---|
| Fidelity | MuFidelity | |
| Fidelity | Insertion | |
| Fidelity | Deletion | |
| Stability | AverageStability | (WIP) |
WIP
WIP