DeepSpeed NealST · COMPLETED
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
github.com/NealST/DeepSpeed · ★ 0 · Forks 0 · Size 38.8 MB
SUMMARY
Technologies 16
Scored 16
Observed 16
Practices 6
Evidence 25
Skips 0
COVERAGE
Analyzed 893 files · 1442 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
9 files · PRODUCTION
C++ LANGUAGE Depth 70
59 files · PRODUCTION
JSON LANGUAGE Depth 70
26 files · PRODUCTION
Markdown LANGUAGE Depth 70
93 files · PRODUCTION
YAML LANGUAGE Depth 70
22 files · PRODUCTION
Python LANGUAGE Depth 70
409 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Bundler BUILD_TOOL Depth 80
1 files · CONFIGURATION
Apache Kafka MESSAGE_BROKER Depth 45
1 files · CONFIGURATION
MongoDB DATABASE Depth 45
1 files · CONFIGURATION
NumPy LIBRARY Depth 78
32 files · PRODUCTION, TEST
Pydantic LIBRARY Depth 78
7 files · PRODUCTION, TEST
Redis CACHE Depth 69
2 files · CONFIGURATION
TypeScript LANGUAGE Depth 81
25 files · PRODUCTION, TEST
pytest TESTING Depth 74
71 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2020-01-23
Last commit 2023-04-12
Active months 40
Commits 1442