alibaba / TinyNeuralNetwork

TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.

Date Created 2021-11-02 (2 years ago)

Commits 809 (last one 5 days ago)

Stargazers 737 (0 this week)

Watchers 21 (0 this week)

Forks 117

License mit

Ranking

RepositoryStats indexes 565,279 repositories, of these alibaba/TinyNeuralNetwork is ranked #66,155 (88th percentile) for total stargazers, and #104,517 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #10,338/111,292.

alibaba/TinyNeuralNetwork is also tagged with popular topics, for these it's ranked: deep-learning (#1,574/8171), pytorch (#1,027/5822), deep-neural-networks (#124/618), model-compression (#20/102)

Other Information

alibaba/TinyNeuralNetwork has 2 open pull requests on Github, 202 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 23 open issues and 117 closed issues.

There have been 1 release, the latest one was published on 2023-05-31 (about a year ago) with the name Annoucing easyquant for speeding up LLM inference via quantization.

All Topics

pruning pytorch deep-learning model-converter model-compression deep-neural-networks post-training-quantization quantization-aware-training

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Github watchers over time, collection started in '23

Recent Commit History

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

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Languages

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

updated: 2024-09-27 @ 11:27am, id: 423737330 / R_kgDOGUG38g