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 (11 months ago)

Commits 52 (last one 8 days ago)

Stargazers 497 (5 this week)

Watchers 17 (0 this week)

Forks 80

License bsd-3-clause

Ranking

RepositoryStats indexes 584,353 repositories, of these quic/ai-hub-models is ranked #90,982 (84th percentile) for total stargazers, and #129,600 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #14,971/116,326.

quic/ai-hub-models is also tagged with popular topics, for these it's ranked: machine-learning (#2,026/7926), pytorch (#1,380/5948), deeplearning (#113/399), onnx (#102/356), inference (#94/301), machinelearning (#67/253)

Other Information

quic/ai-hub-models has Github issues enabled, there are 32 open issues and 85 closed issues.

There have been 18 releases, the latest one was published on 2024-11-13 (8 days ago) with the name v0.18.0.

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

All Topics

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

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Recent Commit History

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

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

updated: 2024-11-21 @ 08:14am, id: 734051622 / R_kgDOK8C9Jg