sony / model_optimization

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

Date Created 2021-06-21 (3 years ago)

Commits 1,288 (last one 3 days ago)

Stargazers 340 (0 this week)

Watchers 23 (0 this week)

Forks 54

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these sony/model_optimization is ranked #122,458 (79th percentile) for total stargazers, and #96,578 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,890/119,431.

sony/model_optimization is also tagged with popular topics, for these it's ranked: deep-learning (#2,637/8512), machine-learning (#2,541/8063), pytorch (#1,783/6025), tensorflow (#840/2255), neural-network (#381/1108), deep-neural-networks (#212/634)

Other Information

sony/model_optimization has 6 open pull requests on Github, 1,035 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 6 open issues and 123 closed issues.

There have been 22 releases, the latest one was published on 2024-11-11 (about a month ago) with the name Release 2.2.2.

Homepage URL: https://sony.github.io/model_optimization/

All Topics

ptq qat edge-ai pytorch optimizer tensorflow quantization deep-learning neural-network machine-learning network-compression deep-neural-networks network-quantization

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Github watchers over time, collection started in '23

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1,213 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: 2024-12-20 @ 07:57am, id: 378795568 / R_kgDOFpP2MA