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 1,263 (last one 18 hours ago)

Stargazers 323 (0 this week)

Watchers 24 (0 this week)

Forks 51

License apache-2.0

Ranking

RepositoryStats indexes 579,238 repositories, of these sony/model_optimization is ranked #124,991 (78th percentile) for total stargazers, and #91,915 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #21,237/115,001.

sony/model_optimization is also tagged with popular topics, for these it's ranked: deep-learning (#2,684/8339), machine-learning (#2,576/7866), pytorch (#1,831/5908), tensorflow (#855/2233), neural-network (#386/1085), deep-neural-networks (#219/623)

Other Information

sony/model_optimization has 2 open pull requests on Github, 1,010 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 115 closed issues.

There have been 20 releases, the latest one was published on 2024-10-29 (8 days ago) with the name Release 2.2.1.

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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1,188 commits on the default branch (main) since jan '22

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

updated: 2024-11-06 @ 10:49pm, id: 378795568 / R_kgDOFpP2MA