S2S Model Builder (Subseasonal-to-Seasonal Forecasting)

This skill actively helps you design, implement, and train S2S forecasting models from scratch.

It generates:

• PyTorch model architectures
• Training loops
• CRPS loss implementations
• Data preprocessing pipelines (ERA5-style)
• Evaluation scripts
• Multi-GPU training configurations
• Inference pipelines

Supported paradigms include: