pytorch-grad-cam and gradcam-pytorch

pytorch-grad-cam
60
Established
gradcam-pytorch
21
Experimental
Maintenance 0/25
Adoption 13/25
Maturity 25/25
Community 22/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 9/25
Stars: 12,682
Forks: 1,694
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 7
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m
No License Stale 6m No Package No Dependents

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.

This helps data scientists, machine learning engineers, and researchers understand why their computer vision AI models make specific decisions. You input a trained image classification, object detection, or segmentation model, and it outputs visual heatmaps showing the exact regions of an image that influenced the model's prediction. This allows users to diagnose model errors, build trust in AI systems, and improve model performance.

AI-explainability computer-vision model-debugging machine-learning-operations deep-learning-research

About gradcam-pytorch

sar-gupta/gradcam-pytorch

Implementation of GradCAM algorithm in Pytorch

This tool helps researchers and deep learning practitioners understand why a convolutional neural network makes a specific decision. By inputting an image and a pre-trained image classification model, it generates a heatmap highlighting the critical regions in the image that influenced the model's prediction. This allows users to interpret and debug their computer vision models more effectively.

deep-learning-interpretability computer-vision model-debugging image-classification AI-explainability

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