jmschrei/apricot
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
Star & Fork Trend (16 data points)
Multi-Source Signals
Growth Velocity
jmschrei/apricot has +0 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | apricot | gym-starcraft | graphbit | labnotebook |
|---|---|---|---|---|
| Stars | 529 | 529 | 529 | 528 |
| Forks | 52 | 138 | 108 | 38 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Rust | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | Apache-2.0 | MIT |
Capability Radar vs gym-starcraft
Last code push 142 days ago.
Fork-to-star ratio: 9.8%. Lower fork ratio may indicate passive usage.
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.