This repository contains components developed as part of Work Package 2 (WP2) of the SustainML project.
WP2 focuses on selecting suitable machine learning models and execution hardware based on the problem requirements and constraints provided by earlier stages of the framework.
The components in this repository are designed to:
- Evaluate constraints related to performance, memory, and resources
- Identify candidate hardware platforms for model execution
- Support informed trade-offs between model capabilities and system limitations
WP2 module is not intended to operate independently and are integrated into the broader SustainML pipeline.
For installation, configuration, and execution instructions, refer to the main framework repository: