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NVIDIA/Model-Optimizer

Coolingrank #190

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.

4.9k+1.7k · 7d 679 63est. Apache-2.0Pythonpushed 4h ago
Compare View on GitHub

Composite

62

conf 65%

Momentum

45

conf 60%

Vitality (PVI)

78

conf 67%

Community

56

conf 60%

Security & maint.

87

conf 85%

Ecosystem influence

52

conf 60%

Opportunity

51

conf 60%

Breakout · 7d

28%

conf 71%

Executive summary

Model-Optimizer is currently classified as cooling with a composite score of 62/100. Momentum (45) and vitality (78) are aligned — growth is backed by sustained maintenance. Estimated 7-day gain of 1,746 stars against a 4.9k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 28%.

90-day trajectory

+5.7k · 30d
2026-06-302026-09-27

Score breakdown

Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.

Momentum

Star velocityest.25%41
Star accelerationest.15%43
Fork velocityest.10%17
Contributor growthest.10%50
Issue activity growthest.10%76
PR activity growthest.10%66
External mention velocityest.10%6
Release event impactest.5%65
Trending-rank persistenceest.5%70

Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%

Project Vitality Index

Commit consistency20%100
Release cadenceest.15%68
PR responsivenessest.15%87
Issue responsivenessest.15%53
Contributor diversityest.10%67
Maintainer continuityest.10%83
Documentation qualityest.5%86
Dependency freshnessest.5%89
Security hygieneest.5%64

Model tn-interpretable-1.0.0 · confidence 67% · coverage 100%

Security & maintenance

Release recency25%100
License clarity20%92
Maintenance status25%100
Dependency stalenessest.15%68
Bus factorest.15%60

Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%

Ecosystem influence

Dependent repositoriesest.30%72
Quality-weighted dependentsest.20%51
Documentation citationsest.15%42
Contributor overlapest.15%51
Registry adoptionest.10%47
Topic centralityest.10%16

Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption