M2
chsiang426/ML-2021-notes
臺灣大學 (NTU) 李宏毅教授「機器學習 (Machine Learning) 2021 Spring 」課程筆記
539 51 +1/wk
GitHub
cnn deep-learning gan machine-learning reinforcement-learning self-attention self-supervised-learning transformer
Trend
3
Star & Fork Trend (34 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
chsiang426/ML-2021-notes has +1 stars this period . 7-day velocity: 0.2%.
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Signal-backed technical analysis will be available soon.
| Metric | ML-2021-notes | pretty-print-confusion-matrix | Gradient-Centralization | ner-lstm |
|---|---|---|---|---|
| Stars | 539 | 539 | 539 | 538 |
| Forks | 51 | 156 | 80 | 180 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | N/A | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | Apache-2.0 | N/A | N/A |
Capability Radar vs pretty-print-confusion-matrix
ML-2021-notes
pretty-print-confusion-matrix
Maintenance Activity 91
Last code push 23 days ago.
Community Engagement 47
Fork-to-star ratio: 9.5%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 51
+1 stars this period — 0.19% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.