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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)

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

Topics

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

Projects that share this one’s GitHub topics.

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