Grad-CAM Visualization ML Frameworks

Tools and implementations for generating Class Activation Maps (particularly Grad-CAM variants) to visualize and explain neural network predictions across different frameworks and domains. Does NOT include general model interpretability methods (LIME, SHAP), saliency maps beyond CAM-based approaches, or non-visualization explainability techniques.

There are 20 grad-cam visualization frameworks tracked. 3 score above 50 (established tier). The highest-rated is jacobgil/pytorch-grad-cam at 60/100 with 12,682 stars.

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#	Framework	Score	Tier	Stars	Language
1	jacobgil/pytorch-grad-cam Advanced AI Explainability for computer vision. Support for CNNs, Vision...	60	Established	12,682	Python
2	frgfm/torch-cam Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++,...	52	Established	2,290	Python
3	jacobgil/keras-grad-cam An implementation of Grad-CAM with keras	51	Established	666	Python
4	ramprs/grad-cam [ICCV 2017] Torch code for Grad-CAM	40	Emerging	1,634	Lua
5	innat/HybridModel-GradCAM A Keras implementation of hybrid efficientnet swin transformer model.	38	Emerging	34	Jupyter Notebook
6	matlab-deep-learning/Explore-Deep-Network-Explainability-Using-an-App This repository provides an app for exploring the predictions of an image...	38	Emerging	37	MATLAB
7	Cloud-CV/Grad-CAM :rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo	37	Emerging	110	HTML
8	experiencor/deep-viz-keras Implementations of some popular Saliency Maps in Keras	37	Emerging	166	Jupyter Notebook
9	liguge/1D-Grad-CAM-for-interpretable-intelligent-fault-diagnosis 智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis	33	Emerging	115	Python
10	boniolp/dCAM [SIGMOD 2022] Python code for "Dimension-wise Class Activation Map for...	32	Emerging	19	Jupyter Notebook
11	ogemarques/xai-image-classification Example of how to use MATLAB to produce post-hoc explanations (using...	31	Emerging	3	—
12	gsurma/cnn_explainer Making CNNs interpretable.	30	Emerging	19	Jupyter Notebook
13	KentaItakura/Explainable-AI-interpreting-the-classification-performed-by-deep-learning-with-LIME-using-MATLAB This demo shows how to interpret the classification by CNN using LIME (Local...	27	Experimental	13	MATLAB
14	ztsv-av/vision_models_visualized Project on exploring how different vision models “see” and analyze the...	27	Experimental	4	Python
15	baotramduong/Explainable-AI-Scene-Classification-and-GradCam-Visualization We will build and train a Deep Convolutional Neural Network (CNN) with...	25	Experimental	7	Jupyter Notebook
16	sar-gupta/gradcam-pytorch Implementation of GradCAM algorithm in Pytorch	21	Experimental	7	Jupyter Notebook
17	abonte/protopdebug Implementation of Concept-level Debugging of Part-Prototype Networks	21	Experimental	12	Python
18	ogemarques/xai-matlab Example of how to use MATLAB to produce post-hoc explanations (using...	20	Experimental	6	MATLAB
19	SalvatoreRa/CNNscan A CT-scan of your CNN	19	Experimental	3	Python
20	brianthuynh10/dsc180-capstone Capstone Quarter 1 Task	16	Experimental	1	Jupyter Notebook

Comparisons in this category

pytorch-grad-cam and torch-cam (60 vs 52) pytorch-grad-cam and Grad-CAM (60 vs 37) pytorch-grad-cam and cnn_explainer (60 vs 30) pytorch-grad-cam and Explainable-AI-Scene-Classification-and-GradCam-Visualization (60 vs 25) pytorch-grad-cam and gradcam-pytorch (60 vs 21) torch-cam and Grad-CAM (52 vs 37) keras-grad-cam and gradcam-pytorch (51 vs 21) xai-image-classification and xai-matlab (31 vs 20)