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AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
2.3k 304 +0/wk
GitHub
anomaly-detection deep-learning deep-neural-networks forecasting hacktoberfest lstm pytorch state-of-the-art-models time-series time-series-analysis time-series-forecasting time-series-regression
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
AIStream-Peelout/flow-forecast has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | flow-forecast | ECCV2024-Papers-with-Code | drl-zh | bulbea |
|---|---|---|---|---|
| Stars | 2.3k | 2.3k | 2.3k | 2.3k |
| Forks | 304 | 273 | 110 | 485 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | GPL-3.0 | N/A | MIT | NOASSERTION |
Capability Radar vs ECCV2024-Papers-with-Code
flow-forecast
ECCV2024-Papers-with-Code
Maintenance Activity 70
Last code push 59 days ago.
Community Engagement 67
Fork-to-star ratio: 13.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 70
Licensed under GPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.