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: about 1 year ago
JSON representation
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 5 years ago)
- Default Branch: main
- Last Pushed: 2025-04-03T03:12:48.000Z (about 1 year ago)
- Last Synced: 2025-04-03T03:28:26.771Z (about 1 year ago)
- Language: Python
- Homepage: https://mlcommons.org/en/groups/research-algorithms/
- Size: 29.5 MB
- Stars: 372
- Watchers: 23
- Forks: 72
- Open Issues: 32
-
Metadata Files:
- Readme: README.md
- Contributing: docs/CONTRIBUTING.md
- License: LICENSE.md
- Codeowners: .github/CODEOWNERS