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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 578

  2. inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.4k 572

  3. training_results_v5.0 Public

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

    Python 4 4

  4. inference_results_v5.0 Public

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

    HTML 7 9

  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.

    23 8

  6. modelbench Public

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

    Python 100 24

Repositories

Showing 10 of 112 repositories
  • mobile_app_open Public

    Mobile App Open

    C++ 59 Apache-2.0 29 37 3 Updated Aug 18, 2025
  • mlperf_inference_test_submissions_v5.0 Public
    Mermaid 0 5 0 0 Updated Aug 17, 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 8 Apache-2.0 17 77 (4 issues need help) 1 Updated Aug 17, 2025
  • mlcflow Public

    MLCFlow: Simplifying MLPerf Automations

    Python 8 Apache-2.0 12 11 (1 issue needs help) 1 Updated Aug 17, 2025
  • GaNDLF Public

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

    Python 183 Apache-2.0 89 4 2 Updated Aug 16, 2025
  • modelbench Public

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

    Python 100 Apache-2.0 24 406 5 Updated Aug 15, 2025
  • training Public

    Reference implementations of MLPerf™ training benchmarks

    Python 1,702 Apache-2.0 578 3 1 Updated Aug 15, 2025
  • dynabench Public
    Python 24 MIT 18 10 5 Updated Aug 15, 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 389 Apache-2.0 73 29 (4 issues need help) 7 Updated Aug 15, 2025
  • r2-downloader Public

    Cloudflare Access + R2 Object Storage Dataset Download Script

    Shell 0 Apache-2.0 1 0 0 Updated Aug 14, 2025
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