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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.

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 (422 stars)
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 (4 indexed issues)
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Latest indexed
Jul 31, 2026
Last GitHub push
May 11, 2026
License
Apache License 2.0
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Contributing guide
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Dominant language
Python
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Clean up train diff tests
Good First Issue

mlcommons/algorithmic-efficiency #808 opened Oct 31, 2024 · Python · 422 stars

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