# mlcommons/algorithmic-efficiency

<https://repo.masters-masters.com/en/repos/mlcommons/algorithmic-efficiency>

[Home](https://repo.masters-masters.com/en) › [mlcommons](https://repo.masters-masters.com/en/owners/mlcommons) › [algorithmic-efficiency](https://repo.masters-masters.com/en/repos/mlcommons/algorithmic-efficiency)

mlcommons/algorithmic-efficiency has 425 stars on GitHub. Its RepoMasters card: Alpha tier. MLCommons Algorithmic Efficiency is a benchmark and competition…

| Field | Value |
| --- | --- |
| Owner | [mlcommons](https://repo.masters-masters.com/en/owners/mlcommons) |
| Stars | 425 |
| Forks | 80 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [mlcommons/algorithmic-efficiency](https://github.com/mlcommons/algorithmic-efficiency) |

## Repository

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.