VITA-Group / SViTE

[NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang

Date Created 2021-05-28 (3 years ago)

Commits 9 (last one about a year ago)

Stargazers 90 (0 this week)

Watchers 15 (0 this week)

Forks 12

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Ranking

RepositoryStats indexes 589,134 repositories, of these VITA-Group/SViTE is ranked #313,400 (47th percentile) for total stargazers, and #145,975 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #58,444/117,584.

VITA-Group/SViTE is also tagged with popular topics, for these it's ranked: model-compression (#72/106)

Other Information

VITA-Group/SViTE has Github issues enabled, there are 3 open issues and 0 closed issues.

Homepage URL: https://tianlong-chen.github.io/about/

All Topics

pruning token-slimming sparse-training dynamic-sparsity model-compression vision-transformers efficient-transformers

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

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updated: 2024-09-03 @ 02:28pm, id: 371832980 / R_kgDOFim4lA