Python · Apache-2.0
roboflow/maestro
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
★ 2.7k
Stars
226 forks · 36 open issues
+1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
25.8
Momentum / 100
see the breakdown below
2y ago
Created
last push 5d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 1.1 | +1.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 14.8 | last push 5d ago; decays to zero at 180 days |
| Scale | 15 | 9.9 | 2.7k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 25.8 | sum of the above |
Detail
| Topics | captioningfine-tuningflorence-2multimodalobjectdetectionpaligemmaphi-3-visionqwen2-vltransformersvision-and-languagevqa |
| Matched on | LLM & Inference (fine-tuning) |
| Short window | +1 stars over 7 days = 0.1/day |
| Long window | +1 stars over 26 days = 0.0/day |
| Lifetime average | 2.50 stars/day over 1,077 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |