ai-hub-models dhaval-vedra · COMPLETED
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
github.com/dhaval-vedra/ai-hub-models · ★ 0 · Forks 0 · Size 268.3 MB
SUMMARY
Technologies 16
Scored 16
Observed 16
Practices 6
Evidence 17
Skips 0
COVERAGE
Analyzed 2376 files · 117 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
10 files · PRODUCTION
JSON LANGUAGE Depth 70
7 files · PRODUCTION
Markdown LANGUAGE Depth 70
182 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
432 files · PRODUCTION
Python LANGUAGE Depth 70
1597 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
MongoDB DATABASE Depth 65
1 files · CONFIGURATION
NumPy LIBRARY Depth 74
252 files · PRODUCTION, TEST
Pydantic LIBRARY Depth 74
15 files · PRODUCTION, TEST
Requests LIBRARY Depth 78
7 files · PRODUCTION
TypeScript LANGUAGE Depth 78
5 files · PRODUCTION
pandas LIBRARY Depth 78
13 files · PRODUCTION, TEST
pytest TESTING Depth 78
258 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-12-21
Last commit 2026-02-25
Active months 27
Commits 117