Grad Cam 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)

bnnr

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

tf-keras-vis

Neural network visualization toolkit for tf.keras

explainable-cnn

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

mpox-trinet

Official implementation of the published paper "Tri-Net: Unified Deep Learning for Skin Lesion and Symptom-Based Monkeypox Detection" (Scopus Q1, SCI-E, IF 3.9), featuring a reproducible Tri-Net v2 framework with modern backbones, feature fusion, explainability, and benchmarking.

timm-vis

Visualizer for PyTorch image models