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ml-co2-impact

Official

Reduce ML carbon footprint.

Software Engineering#sustainability#environmental impact#ml#carbon footprint#ai compliance#co2
AuthorDTMC-marketplace
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the environmental impact of machine learning by providing tools to calculate and minimize the carbon emissions associated with model training and inference.

Core Features & Use Cases

  • Carbon Footprint Calculation: Estimate the CO2 emissions generated by ML operations.
  • Optimization Strategies: Identify methods to reduce the environmental impact of ML models.
  • Compliance Assessment: Evaluate AI systems against environmental regulations.
  • Use Case: A data science team can use this skill to assess the carbon footprint of their latest model training run and explore alternative, more energy-efficient architectures.

Quick Start

Use the ml-co2-impact skill to calculate the carbon footprint of training a large language model.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ml-co2-impact
Download link: https://github.com/DTMC-marketplace/governance/archive/main.zip#ml-co2-impact

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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