https://github.com/marvinbuss/explainableml-vision
This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.
https://github.com/marvinbuss/explainableml-vision
cam class-activation-maps data-science explainable-ai explainable-deepneuralnetwork explainable-ml hymenoptera-dataset lime machine-learning notebook pytorch shap transfer-learning
Last synced: 11 months ago
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This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.
- Host: GitHub
- URL: https://github.com/marvinbuss/explainableml-vision
- Owner: marvinbuss
- License: mit
- Created: 2019-09-04T15:47:00.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2022-07-01T14:21:14.000Z (almost 4 years ago)
- Last Synced: 2025-04-05T23:25:41.008Z (about 1 year ago)
- Topics: cam, class-activation-maps, data-science, explainable-ai, explainable-deepneuralnetwork, explainable-ml, hymenoptera-dataset, lime, machine-learning, notebook, pytorch, shap, transfer-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 52.4 MB
- Stars: 30
- Watchers: 1
- Forks: 5
- Open Issues: 2