← Back to Discover
qualcomm

qualcomm/ai-hub-apps

JavaBSD-3-Clauseactive
91Health

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

Stars430
Forks110
Open Issues6
Contributors110
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
16
Popularity
25
#deeplearning#demos#inference#inference-api#inference-engine#machine-learning#machinelearning#onnx#pytorch#qnn#tensorflow-lite
View on GitHub ↗Issues (6) ↗Pull Requests ↗Wiki ↗

Should you contribute to qualcomm/ai-hub-apps?

qualcomm/ai-hub-apps has a FoundDev health score of 91/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Java, so prior Java experience will shorten ramp-up.

Licensed under BSD-3-Clause, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

qualcomm91

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

active
430110 contributors6 issues
0d ago

More Java repos

apache
apache/tomee
Apache TomEE
474100
apache
apache/camel
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
6.3k98
apache
apache/ambari
Apache Ambari simplifies provisioning, managing, and monitoring of Apache Hadoop clusters.
2.3k95