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@mlcommons

MLCommons

Better ML for everyone

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 training Public

    Reference implementations of MLPerf™ training benchmarks

    Python 1.7k 571

  2. inference inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.3k 544

  3. training_results_v4.1 training_results_v4.1 Public

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

    Python 4 8

  4. inference_results_v4.1 inference_results_v4.1 Public

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

    Python

  5. ailuminate 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.

    9 5

  6. modelbench modelbench Public

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

    Python 83 14

Repositories

Showing 10 of 103 repositories
  • 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.

    mlcommons/algorithmic-efficiency’s past year of commit activity
    Python 370 Apache-2.0 73 24 (4 issues need help) 9 Updated Mar 19, 2025
  • dynabench Public
    mlcommons/dynabench’s past year of commit activity
    Python 21 MIT 17 8 (1 issue needs help) 5 Updated Mar 19, 2025
  • tiny Public

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

    mlcommons/tiny’s past year of commit activity
    C 390 Apache-2.0 95 13 7 Updated Mar 19, 2025
  • croissant Public

    Croissant is a high-level format for machine learning datasets that brings together four rich layers.

    mlcommons/croissant’s past year of commit activity
    Python 551 Apache-2.0 56 139 (4 issues need help) 22 Updated Mar 19, 2025
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    mlcommons/inference’s past year of commit activity
    Python 1,334 Apache-2.0 544 191 22 Updated Mar 19, 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.

    mlcommons/ailuminate’s past year of commit activity
    9 Apache-2.0 4 17 1 Updated Mar 18, 2025
  • training Public

    Reference implementations of MLPerf™ training benchmarks

    mlcommons/training’s past year of commit activity
    Python 1,650 Apache-2.0 571 16 42 Updated Mar 18, 2025
  • mobile_app_open Public

    Mobile App Open

    mlcommons/mobile_app_open’s past year of commit activity
    C++ 54 Apache-2.0 26 34 1 Updated Mar 18, 2025
  • mlcommons/submissions_algorithms’s past year of commit activity
    Python 4 Apache-2.0 2 1 1 Updated Mar 18, 2025
  • modelbench Public

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

    mlcommons/modelbench’s past year of commit activity
    Python 83 Apache-2.0 13 236 3 Updated Mar 17, 2025