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mlcommons/algorithmic-efficiencyPython

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

Last commit May 11, 2026

 (422 stars) (76 forks) (4 indexed issues) (4 open good first issues)
mlcommons/mlperf-automationsPython

This repository contains automation scripts designed to run MLPerf Inference benchmarks. Originally developed for the Collective Mind (CM) automation framework, these scripts have been adapted to leverage the MLC automation framework, maintained by the MLCommons Benchmark Infrastructure Working Group.

Last commit Jul 24, 2026

 (13 stars) (30 forks) (1 indexed issue) (1 open good first issue)
mlcommons/trainingPython

Reference implementations of MLPerf™ training benchmarks

Last commit Jul 25, 2023

 (1,459 stars) (518 forks) (0 indexed issues) (0 open good first issues)