quic / ai-hub-models

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

Date Created 2023-12-20 (6 months ago)

Commits 33 (last one a day ago)

Stargazers 324 (6 this week)

Watchers 13 (0 this week)

Forks 44

License bsd-3-clause

Ranking

RepositoryStats indexes 533,807 repositories, of these quic/ai-hub-models is ranked #118,327 (78th percentile) for total stargazers, and #161,111 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #19,705/103,260.

quic/ai-hub-models is also tagged with popular topics, for these it's ranked: machine-learning (#2,452/7366), pytorch (#1,748/5583), deeplearning (#151/370), machinelearning (#82/239)

Other Information

quic/ai-hub-models has Github issues enabled, there are 22 open issues and 28 closed issues.

There have been 6 releases, the latest one was published on 2024-06-12 (14 days ago) with the name v0.8.0.

Homepage URL: https://aihub.qualcomm.com

All Topics

qnn onnx demos pytorch inference deeplearning inference-api machinelearning tensorflow-lite inference-engine machine-learning

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

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

updated: 2024-06-27 @ 02:13am, id: 734051622 / R_kgDOK8C9Jg