Saliency Map Python Packages

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)

saliency

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

pysodmetrics

PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrics

stellargraph

StellarGraph - Machine Learning on Graphs

deeplift

Public facing deeplift repo

pytorch-sidu

SIDU: SImilarity Difference and Uniqueness method for explainable AI

explainable-cnn

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

xai-inference-engine

This repository contains the code for the XAIInferencerEngine PyPi library.

torchxai-explain

Explainability and saliency maps for PyTorch vision models — GradCAM, EigenCAM, Attention Rollout for CNNs, Vision Transformers (ViT), CLIP, YOLO, DETR, DINO. One-line API.

stellargraph-mvisani

StellarGraph - Machine Learning on Graphs

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.