Thinklab-SJTU/Crossformer
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
Star & Fork Trend (37 data points)
Multi-Source Signals
Growth Velocity
Thinklab-SJTU/Crossformer has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Crossformer | mcunet | nboost | bottleneck-transformer-pytorch |
|---|---|---|---|---|
| Stars | 676 | 677 | 675 | 677 |
| Forks | 109 | 106 | 68 | 81 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | Apache-2.0 | MIT |
Capability Radar vs mcunet
Last code push 860 days ago.
Fork-to-star ratio: 16.1%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.