mit-han-lab/haq

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

408
Stars
87
Forks
42.9
Radar Score
Stable
Momentum

Scoring Breakdown

Impact59.6
Velocity29.4
Health35.0

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Modest but positive momentum.

LLM Frameworks · quantizationTop 55% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
81%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
42.9
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Maintenance cadence: Last push 2085 days ago.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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