pytorch-grad-cam and grad-cam
The newer, more popular tool is an advanced, comprehensive Python-based library for explainable AI techniques like Grad-CAM, while the older, less active tool is a foundational Torch implementation specifically for the original Grad-CAM algorithm, making them **ecosystem siblings** where the latter is a conceptual predecessor or reference for the technique implemented and expanded upon by the former.
About pytorch-grad-cam
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Implements 16+ attribution methods ranging from gradient-based approaches (GradCAM, GradCAM++) to perturbation-based techniques (AblationCAM, ScoreCAM) with batched inference for high performance. Built on PyTorch, it supports explainability across diverse architectures including CNNs, Vision Transformers, and multimodal models like CLIP, plus includes built-in metrics and smoothing algorithms to validate and refine explanation quality. Also works with medical imaging, embedding similarity tasks, and provides deep feature factorization for interpretable representation analysis.
About grad-cam
ramprs/grad-cam
[ICCV 2017] Torch code for Grad-CAM
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