SimpleTuner Harrison-DoyleQ · PARTIAL
A general fine-tuning kit geared toward image/video/audio diffusion models.
github.com/Harrison-DoyleQ/SimpleTuner · ★ 0 · Forks 0 · Size 25.8 MB
SUMMARY
Technologies 26
Scored 25
Observed 25
Practices 6
Evidence 28
Skips 1
COVERAGE
Analyzed 2333 files · 9682 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
3 files · PRODUCTION
JavaScript LANGUAGE Depth 70
127 files · PRODUCTION
JSON LANGUAGE Depth 70
107 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
683 files · PRODUCTION
YAML LANGUAGE Depth 70
8 files · PRODUCTION
Python LANGUAGE Depth 70
1203 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth 66
3 files · PRODUCTION
Elasticsearch DATABASE Depth 65
1 files · CONFIGURATION
FastAPI FRAMEWORK Depth 78
106 files · PRODUCTION, TEST
Jest TESTING Depth —
0 files · config only
Jinja2 LIBRARY Depth 37
1 files · TEST
NumPy LIBRARY Depth 81
121 files · PRODUCTION, TEST
PostgreSQL DATABASE Depth 58
1 files · PRODUCTION
Pydantic LIBRARY Depth 78
50 files · PRODUCTION, TEST
Redis CACHE Depth 58
1 files · PRODUCTION
Requests LIBRARY Depth 81
15 files · PRODUCTION, TEST
Starlette FRAMEWORK Depth 78
6 files · PRODUCTION, TEST
TypeScript LANGUAGE Depth 78
43 files · PRODUCTION, TEST
Uvicorn LIBRARY Depth 70
3 files · PRODUCTION
debug LIBRARY Depth 78
6 files · PRODUCTION, TEST
pandas LIBRARY Depth 78
7 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-05-28
Last commit 2026-06-29
Active months 38
Commits 9682