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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 568

  2. inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.3k 544

  3. 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 Public

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

    Python

  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.

    9 5

  6. modelbench Public

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

    Python 84 16

Repositories

Showing 10 of 104 repositories
  • policies Public

    General policies for MLPerf™ including submission rules, coding standards, etc.

    Python 28 Apache-2.0 57 35 39 Updated Apr 2, 2025
  • inference_results_v5.0 Public

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

    HTML 0 0 0 0 Updated Apr 2, 2025
  • mlperf_inference_test_submissions_v5.0 Public
    Mermaid 0 4 0 0 Updated Apr 2, 2025
  • croissant Public

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

    Python 556 Apache-2.0 58 141 (4 issues need help) 23 Updated Apr 2, 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 2 Apache-2.0 11 64 (3 issues need help) 2 Updated Apr 2, 2025
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1,343 Apache-2.0 544 192 25 Updated Apr 1, 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 372 Apache-2.0 73 24 (4 issues need help) 7 Updated Apr 1, 2025
  • modelbench Public

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

    Python 84 Apache-2.0 16 264 2 Updated Apr 1, 2025
  • inference_results_visualization_template Public template
    JavaScript 0 Apache-2.0 8 1 1 Updated Apr 1, 2025
  • logging Public

    MLPerf™ logging library

    Python 33 Apache-2.0 47 40 2 Updated Apr 1, 2025
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