Xplique
Visit ToolXplique is an open-source Python toolkit for neural network explainability. It helps developers understand complex AI models by providing state-of-the-art Explainable AI techniques.
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Xplique is an open-source Python toolkit for neural network explainability. It helps developers understand complex AI models by providing state-of-the-art Explainable AI techniques.
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About
Xplique is a comprehensive Python toolkit designed to bring clarity to complex neural network models through state-of-the-art Explainable AI (XAI) techniques. Originally developed for TensorFlow models, it also offers partial compatibility with PyTorch. The library features modules for Attribution Methods, allowing users to compute explanations like Grad-CAM and Integrated Gradients across various tasks such as classification, regression, object detection, and semantic segmentation. It also includes Feature Visualization to understand how networks build their understanding, Concept Extraction to identify human concepts, and Metrics to evaluate the faithfulness and robustness of explanations. Xplique supports diverse data types including images, time series, and tabular data, making it a versatile tool for AI model analysis and debugging.
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Open Source
Free
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