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@mlcommons

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 1.6k 550

  2. inference inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.2k 516

  3. training_results_v4.0 training_results_v4.0 Public

    This repository contains the results and code for the MLPerf™ Training v4.0 benchmark.

    Python 7 6

  4. inference_results_v4.0 inference_results_v4.0 Public

    This repository contains the results and code for the MLPerf™ Inference v4.0 benchmark.

    9 15

  5. modelbench modelbench Public

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

    Python 49 8

  6. policies policies Public

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

    Python 25 54

Repositories

Showing 10 of 87 repositories
  • GaNDLF Public

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

    mlcommons/GaNDLF’s past year of commit activity
    Python 151 Apache-2.0 78 19 (1 issue needs help) 5 Updated Aug 18, 2024
  • cm4mlops Public

    A collection of portable, reusable and cross-platform automation recipes (CM scripts) with a human-friendly interface and minimal dependencies to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data sets, software and hardware (cloud/edge)

    mlcommons/cm4mlops’s past year of commit activity
    Python 8 Apache-2.0 11 33 (1 issue needs help) 1 Updated Aug 17, 2024
  • modeltune Public
    mlcommons/modeltune’s past year of commit activity
    Jupyter Notebook 0 Apache-2.0 2 61 4 Updated Aug 17, 2024
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    mlcommons/inference’s past year of commit activity
    Python 1,166 Apache-2.0 516 135 25 Updated Aug 16, 2024
  • 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 49 Apache-2.0 8 75 3 Updated Aug 16, 2024
  • mobile_app_open Public

    Mobile App Open

    mlcommons/mobile_app_open’s past year of commit activity
    C 42 Apache-2.0 21 30 3 Updated Aug 16, 2024
  • modelgauge Public

    Make it easy to automatically and uniformly measure the behavior of many AI Systems.

    mlcommons/modelgauge’s past year of commit activity
    Python 25 Apache-2.0 6 91 3 Updated Aug 15, 2024
  • dynabench Public
    mlcommons/dynabench’s past year of commit activity
    Python 17 MIT 15 7 (1 issue needs help) 5 Updated Aug 16, 2024
  • chakra Public

    Repository for MLCommons Chakra schema and tools

    mlcommons/chakra’s past year of commit activity
    Python 51 Apache-2.0 23 13 (3 issues need help) 7 Updated Aug 15, 2024
  • medperf Public

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

    mlcommons/medperf’s past year of commit activity
    Python 140 Apache-2.0 27 52 (1 issue needs help) 14 Updated Aug 15, 2024
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