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  [![NeurIPS](https://img.shields.io/badge/NeurIPS_2025-1st_Place_CUMSUM-4b44ce.svg)](https://neurips.cc/virtual/2025/loc/san-diego/135896)
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  [![GitHub](https://img.shields.io/badge/GitHub-satformer-181717.svg?logo=github)](https://github.com/leharris3/satformer)
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- SaTformer is a Vision Transformer adapted for spatio-temporal precipitation nowcasting from geostationary satellite (HRIT) imagery. It won **1st place** in the NeurIPS 2025 CUMSUM challenge.
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- ## Model Details
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-
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- | Parameter | Value |
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- |---|---|
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- | Architecture | Vision Transformer (adapted from TimeSformer) |
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- | Attention | Joint space-time (ST²) |
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- | Embedding dim | 512 |
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- | Depth | 12 blocks |
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- | Heads | 8 (dim 64) |
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- | Input | 4 frames x 11 channels x 32x32 |
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- | Output | 64 precipitation bins (classification) |
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- | Patch size | 4x4 |
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  ## Usage
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  ```python
 
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  [![NeurIPS](https://img.shields.io/badge/NeurIPS_2025-1st_Place_CUMSUM-4b44ce.svg)](https://neurips.cc/virtual/2025/loc/san-diego/135896)
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  [![GitHub](https://img.shields.io/badge/GitHub-satformer-181717.svg?logo=github)](https://github.com/leharris3/satformer)
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  ## Usage
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  ```python