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Stars gained: From May 10, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 10, 2026 to Nov 13, 2026, each from zero020May 10Nov 13, 2026hila-chefer/Transformer-Explainabilitygithub/CodeSearchNet
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K2.2K2.4KMay 10Nov 13, 2026hila-chefer/Transformer-Explainabilitygithub/CodeSearchNet

Facts

Fact 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.

github/CodeSearchNet

Datasets, tools, and benchmarks for representation learning of code.

Stars 2,0212,443
Net stars, last 30 days +3+2
Largest star day +2 on Jun 25, 2026+2 on May 10, 2026
Milestone reached in the record NoneNone
Forks 260408
Language Jupyter NotebookJupyter Notebook
License MITMIT
Created Nov 23, 2020Feb 28, 2019
Last push Jan 24, 2024Jan 31, 2022
Archived NoYes
Health facts: Maintenance 1 of 4 checks (2 without data)0 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)0 of 3 checks (2 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Nov 11, 2026

Topics that all of them have on the Repository Host: deep-learning, bert. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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