https://github.com/hila-chefer/Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
https://github.com/hila-chefer/Transformer-Explainability

attention-matrix attention-visualization bert bert-model cvpr2021 deep-learning explainability perturbation transformer-interpretability vision-transformer visualize-classifications vit

Last synced: 11 days ago
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[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

• Host: GitHub
• URL: https://github.com/hila-chefer/Transformer-Explainability
• Owner: hila-chefer
• License: mit
• Created: 2020-11-23T21:00:00.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-01-24T05:59:39.000Z (10 months ago)
• Last Synced: 2024-10-16T05:42:23.444Z (26 days ago)
• Topics: attention-matrix, attention-visualization, bert, bert-model, cvpr2021, deep-learning, explainability, perturbation, transformer-interpretability, vision-transformer, visualize-classifications, vit
• Language: Jupyter Notebook
• Homepage:
• Size: 3.76 MB
• Stars: 1,780
• Watchers: 21
• Forks: 240
• Open Issues: 13
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Dei: DeiT.PNG

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