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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 568

  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 15

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 371 Apache-2.0 73 24 (4 issues need help) 7 Updated Mar 26, 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 15 243 4 Updated Mar 25, 2025
  • dynabench Public
    mlcommons/dynabench’s past year of commit activity
    Python 21 MIT 17 8 (1 issue needs help) 4 Updated Mar 25, 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 3 Updated Mar 25, 2025
  • mlcflow Public

    MLCFlow: Simplifying MLPerf Automations

    mlcommons/mlcflow’s past year of commit activity
    Python 3 Apache-2.0 10 10 3 Updated Mar 25, 2025
  • mobile_app_open Public

    Mobile App Open

    mlcommons/mobile_app_open’s past year of commit activity
    C++ 54 Apache-2.0 26 32 1 Updated Mar 25, 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.

    mlcommons/mlperf-automations’s past year of commit activity
    Python 2 Apache-2.0 11 62 (4 issues need help) 1 Updated Mar 25, 2025
  • mlcommons/submissions_algorithms’s past year of commit activity
    Python 4 Apache-2.0 2 2 0 Updated Mar 25, 2025
  • mlcommons/mlperf_inference_test_submissions_v5.0’s past year of commit activity
    Mermaid 0 4 0 0 Updated Mar 24, 2025
  • policies Public

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

    mlcommons/policies’s past year of commit activity
    Python 28 Apache-2.0 56 35 39 Updated Mar 24, 2025