This is an explanainability library to unveil information on neural networks.<p>It proposes a large variety of attribution methods, they support diverse data types (Tabular, Time Series, and Images) and diverse tasks (classification, regression, object detection, semantic segmentation).<p>You should have a look to the tutorials or the documentation to know more.
Hi!<p>One of the main contributors here!<p>Xplique handles both TF and Torch frameworks for a variety of attribution methods (some of them developed by our team), concept methods (including the excellent CRAFT by Thomas Fel et al.) and Feature Visualization.<p>Please take a look and tell us what you think about it, any feedback welcome!