ssw-plugin:ssw-ml

What problem does it solve?

This Skill enables the application of machine learning techniques to solar physics data, facilitating tasks like solar flare prediction and instrument translation.

Core Features & Use Cases

• Model Training: Train deep learning models (e.g., U-Nets, CNNs) on preprocessed solar EUV images.
• Data Handling: Create PyTorch/TensorFlow dataloaders for FITS files and paired multi-wavelength observations.
• Use Case: Predict solar flares by training a CNN+LSTM model on historical solar activity data, or translate images from one solar instrument to another using a U-Net architecture.

Quick Start

Use the ssw-ml skill to train a U-Net model for image-to-image translation between STEREO and SDO instruments using preprocessed data.