AIRI-Institute/eco4cast
eco4cast library aims to reduce carbon footprint of machine learning models with predictive cloud computing scheduling
This tool helps data scientists and machine learning engineers reduce the carbon footprint of training neural networks. You provide your machine learning model, and it outputs a schedule for when and where to train it to minimize CO2 emissions, either on Google Cloud or locally. It's designed for anyone deploying or developing AI models who is concerned about environmental impact.
No commits in the last 6 months. Available on PyPI.
Use this if you want to automatically schedule your neural network training to run at times or in locations with the lowest carbon emissions.
Not ideal if your primary concern is training speed and cost, rather than environmental impact.
Stars
16
Forks
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Language
Python
License
Apache-2.0
Category
Last pushed
Aug 26, 2024
Commits (30d)
0
Dependencies
9
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