HT
emilwallner/How-to-learn-Deep-Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
733 115 +0/wk
GitHub
cnn deep-learning machine-learning rnn tflearn
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
emilwallner/How-to-learn-Deep-Learning has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | How-to-learn-Deep-Learning | awesome-open-data-centric-ai | Basic-Mathematics-for-Machine-Learning | COMET |
|---|---|---|---|---|
| Stars | 733 | 733 | 733 | 733 |
| Forks | 115 | 40 | 206 | 106 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | N/A | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | CC-BY-4.0 | Apache-2.0 | Apache-2.0 |
Capability Radar vs awesome-open-data-centric-ai
How-to-learn-Deep-Learning
awesome-open-data-centric-ai
Maintenance Activity 0
Last code push 1014 days ago.
Community Engagement 78
Fork-to-star ratio: 15.7%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.