DeepSpeed jozef-javorsky-dodo · COMPLETED
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
github.com/jozef-javorsky-dodo/DeepSpeed · ★ 1 · Forks 0 · Size 199.2 MB
SUMMARY
Technologies 17
Scored 17
Observed 17
Practices 6
Evidence 29
Skips 0
COVERAGE
Analyzed 1723 files · 2747 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
2 files · PRODUCTION
Shell LANGUAGE Depth 70
10 files · PRODUCTION
C++ LANGUAGE Depth 70
173 files · PRODUCTION
JSON LANGUAGE Depth 70
28 files · PRODUCTION
Markdown LANGUAGE Depth 70
164 files · PRODUCTION
YAML LANGUAGE Depth 70
32 files · PRODUCTION
Python LANGUAGE Depth 70
839 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
45 files · PRODUCTION, TEST
Pydantic LIBRARY Depth 78
10 files · PRODUCTION, TEST
Redis CACHE Depth 69
2 files · CONFIGURATION
Requests LIBRARY Depth 37
1 files · TEST
TypeScript LANGUAGE Depth 81
47 files · PRODUCTION, TEST
pytest TESTING Depth 74
152 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2020-01-23
Last commit 2025-04-10
Active months 64
Commits 2747