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MLCommons

Better ML for everyone
README.md

MLCommons

The mission of MLCommons™ is to make machine learning better for everyone. Together with its 50+ founding Members and Affiliates, including startups, leading companies, academics, and non-profits from around the globe, MLCommons will help grow machine learning from a research field into a mature industry through benchmarks, public datasets and best practices. MLCommons firmly believes in the power of open-source and open data. Our software projects are generally available under the Apache 2.0 license and our datasets generally use CC-BY 4.0.

You can visit the MLCommons website here for more information, or head straight to our Community page if you want to join our Working Groups.

Individuals, companies, and other entities can become members and/or affiliates.

Policies, License and Code of Conduct

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  1. training Public

    Reference implementations of MLPerf™ training benchmarks

    Python 1.6k 568

  2. inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.3k 544

  3. inference_results_v4.1 Public

    This repository contains the results and code for the MLPerf™ Inference v4.1 benchmark.

    Python 4 10

  4. training_results_v4.1 Public

    This repository contains the results and code for the MLPerf™ Training v4.1 benchmark.

    Python 4 8

  5. modelbench Public

    Run safety benchmarks against AI models and view detailed reports showing how well they performed.

    Python 81 13

  6. ailuminate Public

    The AILuminate v1.1 benchmark suite is an AI risk assessment benchmark developed with broad involvement from leading AI companies, academia, and civil society.

    4 3

Repositories

Showing 10 of 103 repositories
  • mlperf_inference_test_submissions_v5.0 Public
    Mermaid 0 4 0 0 Updated Mar 9, 2025
  • mlcflow Public

    MLCFlow: Simplifying MLPerf Automations

    Python 3 Apache-2.0 10 6 2 Updated Mar 9, 2025
  • mlperf-automations Public

    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.

    Python 1 Apache-2.0 11 63 (1 issue needs help) 3 Updated Mar 8, 2025
  • algorithmic-efficiency Public

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

    Python 368 Apache-2.0 72 23 (4 issues need help) 6 Updated Mar 8, 2025
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1,326 Apache-2.0 544 188 21 Updated Mar 7, 2025
  • ailuminate Public

    The AILuminate v1.1 benchmark suite is an AI risk assessment benchmark developed with broad involvement from leading AI companies, academia, and civil society.

    4 Apache-2.0 3 15 0 Updated Mar 7, 2025
  • GaNDLF Public

    A generalizable application framework for segmentation, regression, and classification using PyTorch

    Python 173 Apache-2.0 83 14 3 Updated Mar 7, 2025
  • mobile_app_open Public

    Mobile App Open

    C++ 54 Apache-2.0 26 36 3 Updated Mar 7, 2025
  • tiny Public

    MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers

    C 386 Apache-2.0 96 13 5 Updated Mar 6, 2025
  • logging Public

    MLPerf™ logging library

    Python 33 Apache-2.0 47 41 0 Updated Mar 6, 2025
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