higgsfield brianconlan2023 · PARTIAL
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
github.com/brianconlan2023/higgsfield · ★ 1 · Forks 1 · Size 4.9 MB
SUMMARY
Technologies 11
Scored 10
Observed 10
Practices 6
Evidence 12
Skips 1
COVERAGE
Analyzed 88 files · 44 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
7 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
41 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Click LIBRARY Depth 66
3 files · PRODUCTION
Jinja2 LIBRARY Depth 66
3 files · PRODUCTION
NumPy LIBRARY Depth 58
1 files · PRODUCTION
python-dotenv LIBRARY Depth —
0 files · config only
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-10-10
Last commit 2024-02-13
Active months 4
Commits 44