GAISSA
Towards green AI‐based software systems: an architecture‐centric approach (GAISSA)
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ML-EnergyLabel
ML-EnergyLabel PublicA comprehensive project comprising research and a web-app, enabling carbon footprint analysis and energy label generation for ML models, fostering eco-friendly AI development.
Jupyter Notebook
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ML-models-compression-for-energy-efficiency
ML-models-compression-for-energy-efficiency PublicJupyter Notebook
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Repositories
Showing 7 of 7 repositories
- ML-GAISSALabel Public
- energydl-full Public
- adds-ml-serving Public
Data extraction for Identifying architectural design decisions for achieving green ML serving
- seaa2023_ect Public
- ML-EnergyLabel Public
A comprehensive project comprising research and a web-app, enabling carbon footprint analysis and energy label generation for ML models, fostering eco-friendly AI development.
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