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miniWeatherML

miniWeatherML is a playground for learning and developing Machine Learning (ML) surrogate models and workflows. It is based on weather-like flows such as supercells that are realistic enough to be challenging and small enough for rapid prototyping in:

• Data generation and curation
• ML model training
• ML model deployment and analysis
• End-to-end workflows

Documentation

• Code Description and Directory Structure
• Setting Up Experiments
• Building and Running and Experiment
• Overview of Core Modules
• https://github.com/mrnorman/YAKL/wiki