impact

Compute your ML model's emissions with our calculator and add the results to your paper with our generated LaTeX template.
https://github.com/mlco2/impact

Category: Consumption
Sub Category: Computation and Communication

Keywords from Contributors

transformer language-model archiving measur compose projection optimize observation conversion animals

Last synced: about 3 hours ago
JSON representation

Repository metadata

ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template

README.md

This repository is passively maintained: issues will be addressed -- especially if they come with a suggested solution -- but there is no active updates to the data or code. Contributions are welcome.

Machine Learning's CO2 Impact

Checkout the online GPU emissions calculator!

By A. Lacoste, A. Luccioni, V. Schmidt

Read our paper on Quantifying Carbon Emissions of Machine Learning (NeurIPS 2019, Climate Change AI Workshop)

Use our generated latex template which automatically includes the Calculator's output for you to easily report your procedure's CO2 eq. emissions

Contributing

Setup

  1. Install yarn: Node's package manager
  2. Install gulp: a build tool
  3. Install dependencies: from the root of this repo $ yarn install
  4. Run the local server: $ gulp watch
  5. Edit files! Gulp will watch for changes, build the differences and reload the browser

Content

html files are split by section in the html/ folder, and then built into the index.html file.

After editing content, if gulp watch was running, you're good ; otherwise, run gulp build to apply your changes.

Data

Anything to say or add? See data/

Acknowledgements

Special thanks to


Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 8 days ago

Total Commits: 148
Total Committers: 19
Avg Commits per committer: 7.789
Development Distribution Score (DDS): 0.432

Commits in past year: 6
Committers in past year: 5
Avg Commits per committer in past year: 1.2
Development Distribution Score (DDS) in past year: 0.667

Name Email Commits
vict0rsch v****h@p****e 84
Jahne Doe my@e****g 36
Sasha l****s@m****c 7
dependabot[bot] 4****] 3
Alexander Tornede 4****e 2
Julien Chaumond j****n@h****o 2
Marco Cristofanilli m****c 2
Aidan Pine h****o@a****a 1
KrishnaGarg k****g@g****m 1
Manuel de Prada 6****a 1
Mike Smith m****h@g****m 1
Rixinsc 3****c 1
Sebastian Gibb m****l@s****e 1
Shivangi Das s****s 1
Steven van de Graaf 8****f 1
Markos m****s@g****i 1
Paul Johannes Aru p****u@g****m 1
StanMey s****8@h****m 1
sashavor a****a@g****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 18
Total pull requests: 40
Average time to close issues: 10 months
Average time to close pull requests: 2 months
Total issue authors: 16
Total pull request authors: 20
Average comments per issue: 1.11
Average comments per pull request: 0.55
Merged pull request: 25
Bot issues: 0
Bot pull requests: 13

Past year issues: 3
Past year pull requests: 7
Past year average time to close issues: 3 months
Past year average time to close pull requests: about 1 month
Past year issue authors: 3
Past year pull request authors: 6
Past year average comments per issue: 1.0
Past year average comments per pull request: 0.14
Past year merged pull request: 4
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/mlco2/impact

Top Issue Authors

  • vict0rsch (3)
  • yaoyiran (1)
  • kgarg8 (1)
  • jannik-el (1)
  • alexandertornede (1)
  • paulpall (1)
  • rachvis (1)
  • jeremysintes (1)
  • brayevalerien (1)
  • Akronix (1)
  • remyleone (1)
  • enemni (1)
  • eTalent-LMI (1)
  • stalin18 (1)
  • gabrielhuang (1)

Top Pull Request Authors

  • dependabot[bot] (13)
  • vict0rsch (5)
  • julien-c (2)
  • kgarg8 (2)
  • m4oc (2)
  • markos-aivazoglou (2)
  • lbourdois (1)
  • roedoejet (1)
  • IamLRBA (1)
  • rixinsc (1)
  • manueldeprada (1)
  • sgibb (1)
  • sashavor (1)
  • moun3imy (1)
  • sgraaf (1)

Top Issue Labels

  • wontfix (1)
  • help wanted (1)
  • good first issue (1)

Top Pull Request Labels

  • dependencies (13)

Dependencies

package.json npm
  • @babel/core ^7.5.4 development
  • @babel/preset-env ^7.5.4 development
  • babel ^6.23.0 development
  • babel-core ^6.26.3 development
  • babel-preset-es2015 ^6.24.1 development
  • browser-sync ^2.27.10 development
  • del 4.1.1 development
  • gulp ^4.0.2 development
  • gulp-autoprefixer 6.1.0 development
  • gulp-babel ^8.0.0 development
  • gulp-clean-css 4.2.0 development
  • gulp-concat ^2.6.1 development
  • gulp-header 2.0.7 development
  • gulp-plumber ^1.2.1 development
  • gulp-rename 1.4.0 development
  • gulp-sass 5.1.0 development
  • gulp-uglify 3.0.2 development
  • lodash.template >=4.5.0 development
  • merge-stream 2.0.0 development
  • sass ^1.56.1 development
  • @fortawesome/fontawesome-free 5.9.0
  • bootstrap 4.3.1
  • jquery 3.4.1
  • jquery.easing ^1.4.1
  • lodash.template >=4.5.0
  • popper.js ^1.15.0

Score: 8.420902531097951