mrusci / training-mixed-precision-quantized-networks

This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.

Date Created 2019-06-12 (5 years ago)

Commits 3 (last one 5 years ago)

Stargazers 46 (0 this week)

Watchers 2 (0 this week)

Forks 14

License unknown

Ranking

RepositoryStats indexes 534,551 repositories, of these mrusci/training-mixed-precision-quantized-networks is ranked #450,009 (16th percentile) for total stargazers, and #448,591 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #84,139/103,470.

mrusci/training-mixed-precision-quantized-networks is also tagged with popular topics, for these it's ranked: pytorch (#4,838/5588)

Other Information

mrusci/training-mixed-precision-quantized-networks has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 1 closed issue.

All Topics

qnn edge-ai pytorch low-power-mcu integer-arithmetic mixed-precision-training quantized-neural-networks

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

No recent commits to this repository

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

updated: 2024-06-26 @ 08:28am, id: 191550437 / R_kgDOC2rT5Q