NeMo kevalmorabia97 · PARTIAL
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
github.com/kevalmorabia97/NeMo · ★ 0 · Forks 1 · Size 147.4 MB
SUMMARY
Technologies 24
Scored 21
Observed 21
Practices 6
Evidence 38
Skips 3
COVERAGE
Analyzed 2731 files · 6746 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
24 files · PRODUCTION
C++ LANGUAGE Depth 70
1 files · PRODUCTION
JavaScript LANGUAGE Depth 70
1 files · PRODUCTION
JSON LANGUAGE Depth 70
5 files · PRODUCTION
Markdown LANGUAGE Depth 70
46 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
379 files · PRODUCTION
Python LANGUAGE Depth 70
1834 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth 62
2 files · PRODUCTION
Black QUALITY Depth —
0 files · config only
Click LIBRARY Depth —
0 files · config only
FastAPI FRAMEWORK Depth 58
1 files · PRODUCTION
Flask FRAMEWORK Depth 78
6 files · PRODUCTION
Jinja2 LIBRARY Depth —
0 files · config only
NumPy LIBRARY Depth 85
308 files · PRODUCTION, TEST
Pydantic LIBRARY Depth 58
1 files · PRODUCTION
Requests LIBRARY Depth 81
5 files · PRODUCTION
TypeScript LANGUAGE Depth 85
139 files · PRODUCTION
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
pandas LIBRARY Depth 85
23 files · PRODUCTION, TEST
pytest TESTING Depth 85
161 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2019-08-06
Last commit 2024-07-15
Active months 60
Commits 6746