Model-Optimizer kevalmorabia97 · PARTIAL
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
github.com/kevalmorabia97/Model-Optimizer · ★ 0 · Forks 0 · Size 66.8 MB
SUMMARY
Technologies 22
Scored 20
Observed 20
Practices 6
Evidence 23
Skips 2
COVERAGE
Analyzed 1563 files · 829 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
50 files · PRODUCTION
C++ LANGUAGE Depth 70
12 files · PRODUCTION
JSON LANGUAGE Depth 70
11 files · PRODUCTION
TOML LANGUAGE Depth 70
3 files · PRODUCTION
Markdown LANGUAGE Depth 70
134 files · PRODUCTION
YAML LANGUAGE Depth 70
243 files · PRODUCTION
Python LANGUAGE Depth 70
983 files · PRODUCTION
uv BUILD_TOOL Depth 80
1 files · CONFIGURATION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
AWS SDK CLOUD Depth 58
1 files · PRODUCTION
FastAPI FRAMEWORK Depth 58
1 files · PRODUCTION
NumPy LIBRARY Depth 85
105 files · PRODUCTION, TEST
Pydantic LIBRARY Depth 81
23 files · PRODUCTION, TEST
Requests LIBRARY Depth 66
2 files · PRODUCTION
Ruff QUALITY Depth —
0 files · config only
TypeScript LANGUAGE Depth 85
16 files · PRODUCTION, TEST
Uvicorn LIBRARY Depth 58
1 files · PRODUCTION
mypy QUALITY Depth —
0 files · config only
pandas LIBRARY Depth 78
7 files · PRODUCTION
pytest TESTING Depth 81
241 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-05-08
Last commit 2026-05-29
Active months 25
Commits 829