captum

What problem does it solve?

This Skill helps developers and researchers understand the inner workings of PyTorch models, enabling better debugging, compliance, and risk assessment.

Core Features & Use Cases

• Model Interpretability: Apply various attribution methods (Integrated Gradients, DeepLIFT, GradCAM) to understand feature importance.
• Compliance Assessment: Evaluate AI systems against EU AI Act Art. 13 requirements by analyzing model behavior.
• Risk Mitigation: Identify potential biases or vulnerabilities in models through interpretability analysis.
• Use Case: Debugging why a PyTorch image classification model misclassifies certain images by visualizing which parts of the image contributed most to the incorrect prediction.

Quick Start

Use the captum skill to analyze feature importance for the attached model 'resnet50.pth' on the input 'sample_image.jpg'.