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Contributions are welcome.*\n\n# Machine Learning's CO2 Impact\n\nCheckout the [**online GPU emissions calculator**](https://mlco2.github.io/impact)!\n\n[![](https://i.postimg.cc/pTqVSx7N/Capture-d-e-cran-2019-11-07-a-12-41-58.png)](https://mlco2.github.io/impact)\n\nBy A. Lacoste, A. Luccioni, V. Schmidt\n\nRead our paper on [**Quantifying Carbon Emissions of Machine Learning**](https://arxiv.org/pdf/1910.09700) (NeurIPS 2019, Climate Change AI Workshop)\n\nUse our **generated latex template** which automatically includes the Calculator's output for you to easily report your procedure's CO2 eq. emissions\n\n[![](https://raw.githubusercontent.com/mlco2/impact/master/img/template.png)](https://mlco2.github.io/impact#publish)\n\n## Contributing\n\n### Setup\n\n1. [Install `yarn`](https://classic.yarnpkg.com/lang/en/docs/install/#mac-stable): Node's package manager\n2. [Install `gulp`](https://gulpjs.com/): a build tool\n3. 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See [`data/`](https://github.com/mlco2/impact/tree/master/data)\n\n## Acknowledgements\n\nSpecial thanks to\n\n* https://sharingbuttons.io/\n* [prism.js](https://prismjs.com/)\n* https://unsplash.com/\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["language-model","sustainability","fairness","energy-efficiency","energy-consumption","co2-emissions","carbon-footprint","carbon-emissions","ai-ethics","transformer"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/452","html_url":"https://ost.ecosyste.ms/projects/452"}