IT
hse-aml/intro-to-dl
Resources for "Introduction to Deep Learning" course.
754 710 +0/wk
GitHub
deep-learning
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
hse-aml/intro-to-dl has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | intro-to-dl | Speech-enhancement | Real-time-ML-Project | vnet.pytorch |
|---|---|---|---|---|
| Stars | 754 | 755 | 755 | 753 |
| Forks | 710 | 130 | 275 | 201 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | N/A | BSD-3-Clause |
Capability Radar vs Speech-enhancement
intro-to-dl
Speech-enhancement
Maintenance Activity 0
Last code push 2037 days ago.
Community Engagement 20
Fork-to-star ratio: 94.2%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.