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, Finer-CAM, LeGrad, RefineCAM)

deeplift

Public facing deeplift repo

torch-explain

PyTorch Explain: Interpretable Deep Learning in Python.

path-explain

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

tslens

SOTA Time Series Interpretability Library for PyTorch, from Supervised to Foundation Models

phenoverse

Deep interpretable learning of sample representations for characterizing disease states in single-cell transcriptomics

attributionpriors

Tools for training explainable models using attribution priors.

cnnamon

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

m-phate

Multislice PHATE for tensor embeddings

miidl

A Python package for biomarkers identification powered by interpretable deep learning

iseeu

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

wintsr

SOTA Time Series Interpretability Library for PyTorch, from Supervised to Foundation Models