Quantus
The toolkit provides over 35 metrics across six categories to quantitatively evaluate neural network explanations. It supports models from PyTorch and TensorFlow, helping ensure explanations align with responsible AI standards. Suitable for various data types and methods, the toolkit fosters a reliable evaluation environment. Join its active development on Discord and explore features like EfficientMPRT and SmoothMPRT. Tutorials and installation guides are available for integration into AI projects.
