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	4
Lines Committed vs. Age Chart (click to view)

Projects¶

Project	Size Score	Trend Score	Byline
Alibi Explain	3.75	8.25	Algorithms for monitoring and explaining machine learning models.
DiCE	2.0	7.5	Generate Diverse Counterfactual Explanations for any machine learning model.
SHAP	4.75	5.75	A game theoretic approach to explain the output of any machine learning model.
Shapash	4.0	9.0	Shapash makes Machine Learning models transparent and understandable by everyone