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lqzxt/Time-R1
Time-R1 is a two-stage reinforcement fine-tuning framework that trains large language models to perform slow-thinking, step-by-step reasoning for accurate and explainable time series forecasting.
96 11 +0/wk
GitHub
large-language-models reinforcement-learning time-series-forecasting
Trend
3
Star & Fork Trend (25 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lqzxt/Time-R1 has +0 stars this period . 7-day velocity: 1.1%.
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Signal-backed technical analysis will be available soon.
| Metric | Time-R1 | AIRTBench-Code | n8n-playbook | ScalableML |
|---|---|---|---|---|
| Stars | 96 | 96 | 96 | 96 |
| Forks | 11 | 15 | 35 | 85 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | HTML |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | Apache-2.0 | N/A | N/A |
Capability Radar vs AIRTBench-Code
Time-R1
AIRTBench-Code
Maintenance Activity 100
Last code push 4 days ago.
Community Engagement 57
Fork-to-star ratio: 11.5%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.