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)
Generate visual maps that show which parts of images your AI models focus on when making decisions.
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Free · no card · unsubscribe anytimeClass activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
torch-cam has 2.3k stars on GitHub. It has been forked 224 times. torch-cam is written mainly in Python. It has been in active development since 2020. torch-cam is available under the Apache-2.0 license. Its main topics are activation-maps, class-activation-map, cnn, deep-learning.
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)
torch-cam is an open-source project. It is released under the Apache-2.0 license.
Yes. torch-cam is free and open source — you can use, modify and self-host it.
torch-cam is available under the Apache-2.0 license.
torch-cam is written mainly in Python.
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