jacobgil / pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Why this job: topics: computer-vision, object-detection, image-classification, deep-learning, machine-learning, pytorch, object detection, computer vision
What it does
This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is also to serve as a benchmark of algorithms and metrics for research of new explainability methods.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 11 days ago
- Stars
- 13,010
- +4 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 66% closed
- 151 still open
- Pull requests
- 84 merged
- 20 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- deep-learning
- pytorch
- grad-cam
- visualizations
- interpretability
- interpretable-ai
- interpretable-deep-learning
- score-cam
- class-activation-maps
- vision-transformers
- explainable-ai
- xai
Project record
- JobAI libraries and models
- StatusListed
- Commits277
- Forks1,716
- Watching44
- Stars in 28 days+24
- CreatedMay 31, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026