https://github.com/mlcommons/algorithmic-efficiency

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
https://github.com/mlcommons/algorithmic-efficiency

Last synced: 6 days ago
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MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

• Host: GitHub
• URL: https://github.com/mlcommons/algorithmic-efficiency
• Owner: mlcommons
• License: apache-2.0
• Created: 2021-02-16T19:30:14.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-29T23:31:51.000Z (11 days ago)
• Last Synced: 2024-10-30T01:51:52.123Z (11 days ago)
• Language: Python
• Homepage: https://mlcommons.org/en/groups/research-algorithms/
• Size: 31.7 MB
• Stars: 328
• Watchers: 25
• Forks: 64
• Open Issues: 32
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.md
  • Codeowners: .github/CODEOWNERS

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