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.

Date Created 2020-11-23 (4 years ago)
Commits 86 (last one 2 years ago)
Stargazers 1,840 (1 this week)
Watchers 20 (0 this week)
Forks 244
License mit
Ranking

RepositoryStats indexes 616,225 repositories, of these hila-chefer/Transformer-Explainability is ranked #28,823 (95th percentile) for total stargazers, and #111,845 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #640/18,359.

hila-chefer/Transformer-Explainability is also tagged with popular topics, for these it's ranked: deep-learning (#814/8695),  bert (#54/568)

Other Information

hila-chefer/Transformer-Explainability has 4 open pull requests on Github, 3 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 10 open issues and 53 closed issues.

Star History

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Watcher History

Github watchers over time, collection started in '23

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Recent Commit History

13 commits on the default branch (main) since jan '22

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Issue History

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updated: 2025-02-14 @ 12:29pm, id: 315439501 / R_kgDOEs05jQ