Explainable AI

Description

Deep Learning models tend to be “black box” and do not provide much feedback on which features determined a given output (class label or regression value). Projects in Explainable AI use various approaches to provide insight into the factors behind a model’s decision.

Projects

3

Lines Committed vs. Age Chart (click to view)

Lines Committed vs. Age Chart (click to view)

Projects

Project

Size Score

Trend Score

Byline

Seldon Alibi

3.25

7.5

Algorithms for monitoring and explaining machine learning models.

SHAP

4.25

5.75

A game theoretic approach to explain the output of any machine learning model.

Shapash

2.75

8.25

Shapash makes Machine Learning models transparent and understandable by everyone