Rank #3,624 2,019 starsJupyter Notebook

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)

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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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Rank #3,624 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

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