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Tutorials and examples

Use this directory to select a complete learning path. Where a worked example is available, it is integrated into a single page so setup, execution, output, and interpretation remain in one place.

Resource Modality Type Status Coverage
Image Classification Explainer Image Tutorial Available Built-in and custom PyTorch classifiers, segmentation, distances, and image plots.
LLM Example LLM Worked example Available Provider setup, prompt perturbation, embeddings, executed outputs, fidelity metrics, plot interpretation, and embedding comparison.
Image Examples Image Example collection Coming soon Reproducible image-classification examples with stored outputs.
Image Editing and Pix2Pix Models Image generation Planned example Under construction Conditional image-to-image explanation and Pix2Pix-style model analysis.
Tabular Examples Tabular Example collection Under construction Classification, regression, mixed features, and stability comparisons.
Text Examples Text Example collection Under construction Token- and phrase-level explanations for conventional text models.
Point-Cloud Examples Point cloud Example collection Under construction Point grouping, perturbation comparison, and 3D attribution.
  • New users should begin with the installation guide and then choose one of the available resources.
  • Users comparing capabilities should first review the explainer directory.
  • Contributors preparing a new example should include executable code, environment details, representative output, quality metrics, and a limitations section.