cvqluu/Factorized-TDNN
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
150
Stars
34
Forks
31.4
Radar Score
Declining
Momentum
Scoring Breakdown
Impact44.6
Velocity18.5
Health28.3
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Modest but positive momentum.
Top 79% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
61%
Mixed Signals
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
31.4
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 0 open issues for 150 stars (0.0%).
- Maintenance cadence: Last push 2501 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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