louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Star & Fork Trend (27 data points)
Multi-Source Signals
Growth Velocity
louisfb01/start-machine-learning has -1 stars this period . 7-day velocity: -0.0%.
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Signal-backed technical analysis will be available soon.
| Metric | start-machine-learning | ssd.pytorch | sklearn-doc-zh | ltp |
|---|---|---|---|---|
| Stars | 5.2k | 5.2k | 5.2k | 5.2k |
| Forks | 697 | 1.7k | 1.5k | 1.1k |
| Weekly Growth | -1 | +0 | +0 | +0 |
| Language | N/A | Python | CSS | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | NOASSERTION | N/A |
Capability Radar vs ssd.pytorch
Last code push 75 days ago.
Fork-to-star ratio: 13.3%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.