Xplique

🦊 Xplique (pronounced \ɛks.plik\) is a Python toolkit dedicated to explainability. The goal of this library is to gather the state of the art of Explainable AI to help you understand your complex neural network models. Originally built for Tensorflow's model it also works for PyTorch models partially.

Xplique is integrated in the Kaa Explainability Platform.

Documentation

User Manual

User manual is available online, here.

Methodological Guidelines

• Methodological Guideline for Explainability
• Methodological Guideline for Xplique Example Based

Scientific Contribution

• Comments on ISO 6254 (Explainability)

Benchmark

• Explicability benchmark
• Application of Xplique Example-Based module on Safran Visual Industrial Control Use Case

Application over use-case

• Unsupervised Anomaly Detection and Explainability tools for Time Series

State of the Art

• Characterization of the notion of trust

Demonstrator

A restricted demonstrator is available here. It relies on demande forecasting, visual inspection and 2D scene understanding.

Support

Support for Xplique must be obtained directly from the component owners, you can contact them directly here.