
Transformer-Explainability
by hila-chefer (personal account)
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks. (description from the project’s GitHub page)
Repository facts
- Stars
- 2,019
- Forks
- 260
- Open issues and pull requests
- 16
- Primary language
- Jupyter Notebook
- License
- MIT License (MIT)
- Owner
- hila-chefer · Personal account
- Created
- Nov 23, 2020
- Last push
- Jan 24, 2024
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