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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 567

  2. inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.4k 545

  3. training_results_v4.1 Public

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

    Python 5 11

  4. inference_results_v5.0 Public

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

    HTML 3 4

  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.

    16 7

  6. modelbench Public

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

    Python 90 23

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