Gradcam 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)

tf-keras-vis

Neural network visualization toolkit for tf.keras

chitra

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

bioexp

Explainability of Deep Learning Models

covidxai

Implementation of explainability algorithms (layer-wise relevance propagation, local interpretable model-agnostic explanations, gradient-weighted class activation mapping) on computer vision architectures to identify and explain regions of COVID 19 pneumonia in chest X-ray and CT scans.

biasx

Python library detecting and explaining gender bias in face classification models

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.