Interpretable Deep Learning Python Packages

grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

torchcam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

torch-explain

PyTorch Explain: Interpretable Deep Learning in Python.

deeplift

DeepLIFT (Deep Learning Important FeaTures)

path-explain

A repository for explaining feature attributions and feature interactions in deep neural networks.

cnnamon

CNNAMON: a convolutiIonal neural network interpretability framework for deciphering regulatory motif insights

attributionpriors

Tools for training explainable models using attribution priors.

m-phate

m-phate

miidl

A Python package for biomarkers identification powered by interpretable deep learning

iseeu

ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU