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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)

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