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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 training Public

    Reference implementations of MLPerf™ training benchmarks

    Python 1.7k 568

  2. inference inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.4k 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_v5.0 inference_results_v5.0 Public

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

    HTML 2 1

  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 4

  6. modelbench modelbench Public

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

    Python 85 19

Repositories

Showing 10 of 106 repositories
  • logging Public

    MLPerf™ logging library

    mlcommons/logging’s past year of commit activity
    Python 34 Apache-2.0 47 40 1 Updated Apr 8, 2025
  • training Public

    Reference implementations of MLPerf™ training benchmarks

    mlcommons/training’s past year of commit activity
    Python 1,659 Apache-2.0 568 17 43 Updated Apr 8, 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 562 Apache-2.0 58 143 (4 issues need help) 21 Updated Apr 8, 2025
  • medperf Public

    An open benchmarking platform for medical artificial intelligence using Federated Evaluation.

    mlcommons/medperf’s past year of commit activity
    Python 156 Apache-2.0 34 52 22 Updated Apr 8, 2025
  • abtf-ssd-pytorch Public
    mlcommons/abtf-ssd-pytorch’s past year of commit activity
    Python 1 Apache-2.0 1 1 2 Updated Apr 8, 2025
  • GaNDLF Public

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

    mlcommons/GaNDLF’s past year of commit activity
    Python 173 Apache-2.0 85 12 2 Updated Apr 8, 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 85 Apache-2.0 19 279 2 Updated Apr 8, 2025
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    mlcommons/inference’s past year of commit activity
    Python 1,350 Apache-2.0 544 193 26 Updated Apr 7, 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.

    mlcommons/algorithmic-efficiency’s past year of commit activity
    Python 375 Apache-2.0 72 24 (4 issues need help) 6 Updated Apr 8, 2025
  • mlperf_inference_test_submissions_v5.0 Public
    mlcommons/mlperf_inference_test_submissions_v5.0’s past year of commit activity
    Mermaid 0 4 0 0 Updated Apr 7, 2025
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