huawei-noah / Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Date Created 2019-11-16 (5 years ago)
Commits 150 (last one 4 months ago)
Stargazers 4,063 (10 this week)
Watchers 53 (0 this week)
Forks 708
License unknown
Ranking

RepositoryStats indexes 584,353 repositories, of these huawei-noah/Efficient-AI-Backbones is ranked #11,882 (98th percentile) for total stargazers, and #38,724 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #1,789/116,326.

huawei-noah/Efficient-AI-Backbones is also tagged with popular topics, for these it's ranked: pytorch (#219/5948),  tensorflow (#125/2241),  transformer (#40/1000),  convolutional-neural-networks (#14/540),  pretrained-models (#24/206),  model-compression (#2/106)

Other Information

huawei-noah/Efficient-AI-Backbones has 2 open pull requests on Github, 5 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 86 open issues and 185 closed issues.

There have been 12 releases, the latest one was published on 2024-04-25 (6 months ago) with the name GhostNetV3.

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Recent Commit History

87 commits on the default branch (master) since jan '22

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Languages

The primary language is Python but there's also others...

updated: 2024-11-20 @ 04:40pm, id: 222110214 / R_kgDODT0iBg