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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. inference_results_v6.0 inference_results_v6.0 Public

    Link to visualizer: https://mlperf-dashboard-final-50577619532.us-west1.run.app/

    Python 6 5

  2. training_results_v6.0 training_results_v6.0 Public

    Python 3 2

  3. training training Public

    Reference implementations of MLPerf® training benchmarks

    Python 1.8k 592

  4. inference inference Public

    Reference implementations of MLPerf® inference benchmarks

    Python 1.6k 641

  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.

    80 22

  6. modelbench modelbench Public

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

    Python 129 32

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