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GitHub / 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.

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Stars: 1,673
Forks: 225
Open Issues: 11

License: mit
Language: Jupyter Notebook
Repo Size: 3.76 MB
Dependencies: 15

Created: over 3 years ago
Updated: 20 days ago
Last pushed: 4 months ago
Last synced: 19 days ago

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

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    Dependencies
    requirements.txt pypi