XAI Interpretability Dashboard
7.0
A web application for visualizing and understanding the decision-making processes of unsupervised anomaly detection models, particularly on anonymized datasets like credit card fraud. Focuses on implementing SHAP values for XAI insights, designed for thesis and research projects.
200h
mvp estimate
7.0
viability grade
10
views
technology stack
Python
NodeJS
Medium
inspired by
Using SHAP to explain Unsupervised Anomaly Detection