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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.

active 2024-11-212025-02-20 (UTC)

Complete coverage26,679 / 26,679 hourly files (100%) · 2 absent upstream2023-08-152026-08-30 (UTC)
Events
11
Pushes
8
Pull requests
0
Issues
1
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 92 days from 2024-11-21 to 2025-02-20. Pushes: 8 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
rka9710801

Recent activity

Latest issues, pull requests and releases

  • Issue comment#1rka972024-11-21 17:26
    Move from pmap to jax.jit
  • Issue#1rka972024-11-21 17:26
    Move from pmap to jax.jit

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.