PAIR-code

Visualizations for machine learning datasets

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

Source code/webpage/demos for the What-If Tool

The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.

Cam Scroller is an open-source Chrome extension that uses your webcam and deeplearn.js to enable scrolling through webpages using custom gestures that you define.