Rank #1247 · on radar since 2026-07-08
machine-learning-library
A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normalized to Markdown with full provenance. Open it in Obsidian or point your agent at it. A clean ML corpus for learning, RAG & fine-tuning.
machine-learning-library is a tool in the AI builder stack on the Cresting radar since 2026-07-08, currently ranked #1247 of 2387 tracked tools with a momentum score of 42.6. It has 159 GitHub stars (+1 in the last 7 days). Momentum measures how fast a tool is rising, not how big it is; the score recomputes hourly from public signals.
Momentum
Why it's ranked
Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →
| Velocity (weighted, cohort-normalized) | 0.690 |
| Recency boost | 0.050 |
| Signal decay | 0.997 |
| Corroboration | 1.000 |
| Quality gate | 1.000 |
Raw signals (30 days)
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