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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 1.7k 573

  2. inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.4k 564

  3. training_results_v5.0 Public

    This repository contains the results and code for the MLPerf™ Training v5.0 benchmark.

    Python 3 2

  4. inference_results_v5.0 Public

    This repository contains the results and code for the MLPerf™ Inference v5.0 benchmark.

    HTML 5 8

  5. 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.

    20 8

  6. modelbench Public

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

    Python 97 23

Repositories

Showing 10 of 109 repositories
  • inference_results_visualization_template Public template
    JavaScript 0 Apache-2.0 8 1 1 Updated Jul 19, 2025
  • mlperf_inference_test_submissions_v5.0 Public
    Mermaid 0 5 0 0 Updated Jul 19, 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 5 Apache-2.0 14 71 (2 issues need help) 3 Updated Jul 18, 2025
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1,412 Apache-2.0 564 224 19 Updated Jul 18, 2025
  • inference_policies Public

    Issues related to MLPerf™ Inference policies, including rules and suggested changes

    63 Apache-2.0 55 19 3 Updated Jul 18, 2025
  • modelbench Public

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

    Python 97 Apache-2.0 23 368 4 Updated Jul 18, 2025
  • modelplane Public
    Python 0 Apache-2.0 0 15 0 Updated Jul 18, 2025
  • tiny Public

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

    C 419 Apache-2.0 101 14 7 Updated Jul 18, 2025
  • storage Public

    MLPerf™ Storage Benchmark Suite

    Python 156 Apache-2.0 48 21 0 Updated Jul 18, 2025
  • logging Public

    MLPerf™ logging library

    Python 37 Apache-2.0 49 42 3 Updated Jul 17, 2025
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