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ML CO2 Impact provides a calculator to estimate the carbon emissions of machine-learning workloads based on hardware, runtime, and cloud provider. It reports both raw emissions and estimated offsets, noting factors like grid carbon intensity and datacenter PUE that can affect the results. It also offers ways to publish the findings in papers or blogs and to integrate carbon estimation into Python workflows (via CodeCarbon), including a LaTeX template for reporting emissions.
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Machine Learning CO2 Impact Calculator
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Machine Learning CO2 Impact Calculator : A lightweight, web-based reference tool that estimates emissions based on hardware type, cloud provider, and hours of training.