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Mini workshop to provide a peak of what’s happening under the hood of models currently at the frontier of the AI revolution, and about how we can track the emissions of our own code.
Energy Consumption of various Machine Learning and Deep Learning Models using codecarbon
A Satellite Semantic Segmentation Project using Unet and Attention Unet with Pytorch,
The system tracks the emissions of a given recommendation algorithm on a given dataset.
Pytest plugin for tracking carbon emissions
[EARLY ACCESS] vscode extension for codecarbon
Example project built as a tutorial on how to monitor the emissions and energy consumption of a Python application, using AWS CloudWatch to increase the visibility of these statistics using Custom Metrics and Dashboards.