fpv-iplab/rulstm
Code for the Paper: Antonino Furnari and Giovanni Maria Farinella. What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention. International Conference on Computer Vision, 2019.
Star & Fork Trend (123 data points)
Multi-Source Signals
Growth Velocity
fpv-iplab/rulstm has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | rulstm | PSD-Principled-Synthetic-to-Real-Dehazing-Guided-by-Physical-Priors | Image-Captions | datadreamer |
|---|---|---|---|---|
| Stars | 135 | 135 | 135 | 135 |
| Forks | 33 | 21 | 30 | 7 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | N/A | Apache-2.0 |
Capability Radar vs PSD-Principled-Synthetic-to-Real-Dehazing-Guided-by-Physical-Priors
Last code push 972 days ago.
Fork-to-star ratio: 24.4%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.
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