https://github.com/kemalcanbora/serverless-ml-carbon-tracking

Let's calculate your ML projects Carbon Emission using AWS Fargate
https://github.com/kemalcanbora/serverless-ml-carbon-tracking

aws-fargate carbon-emissions multilabel-classification nltk

Last synced: 9 months ago
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Let's calculate your ML projects Carbon Emission using AWS Fargate

• Host: GitHub
• URL: https://github.com/kemalcanbora/serverless-ml-carbon-tracking
• Owner: kemalcanbora
• Created: 2024-01-24T21:18:13.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-01-24T21:26:30.000Z (over 2 years ago)
• Last Synced: 2025-03-17T20:16:52.629Z (over 1 year ago)
• Topics: aws-fargate, carbon-emissions, multilabel-classification, nltk
• Language: Python
• Homepage:
• Size: 35.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

          
### Serverless Container Example for Carbon Footprint Calculation

It's designed to track the carbon footprint of ML projects using AWS Fargate.

### Deployment

1. Create an AWS ECR Repository

2. Change the repository name in the deploy.sh file REGION, ACCOUNT_ID, REPOSITORY_NAME etc.

3. Run the deploy.sh file

```bash

    ./deploy.sh

```

###  Dataset

Not available yet.