IT
lucidrains/iTransformer
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
534 40 +0/wk
GitHub
artificial-intelligence attention-mechanisms deep-learning time-series-forecasting transformers
Trend
0
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
lucidrains/iTransformer has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | iTransformer | factor-network | deep-learning-bitcoin | crafter |
|---|---|---|---|---|
| Stars | 534 | 534 | 534 | 533 |
| Forks | 40 | 46 | 131 | 88 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | JavaScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | MIT |
Capability Radar vs factor-network
iTransformer
factor-network
Maintenance Activity 0
Last code push 301 days ago.
Community Engagement 37
Fork-to-star ratio: 7.5%. Lower fork ratio may indicate passive usage.
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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.