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 1,357 (last one 24 hours ago)

Stargazers 374 (2 this week)

Watchers 22 (0 this week)

Forks 63

License apache-2.0

Ranking

RepositoryStats indexes 629,376 repositories, of these sony/model_optimization is ranked #117,883 (81st percentile) for total stargazers, and #98,821 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,329/128,345.

sony/model_optimization is also tagged with popular topics, for these it's ranked: deep-learning (#2,547/8791), machine-learning (#2,475/8374), pytorch (#1,727/6203), tensorflow (#814/2300), neural-network (#372/1136), deep-neural-networks (#205/651)

Other Information

sony/model_optimization has 7 open pull requests on Github, 1,103 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 136 closed issues.

There have been 23 releases, the latest one was published on 2025-02-12 (about a month ago) with the name Release 2.3.0.

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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1,281 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: 2025-03-20 @ 06:13pm, id: 378795568 / R_kgDOFpP2MA