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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 1.6k 554

  2. inference inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.2k 527

  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 10 13

  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 2 6

  5. modelbench modelbench Public

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

    Python 55 8

  6. policies policies Public

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

    Python 27 54

Repositories

Showing 10 of 91 repositories
  • 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 55 Apache-2.0 8 173 0 Updated Oct 10, 2024
  • ck Public

    Collective Knowledge (CK) is an educational community project to learn how to run AI, ML and other emerging workloads in the most efficient and cost-effective way across diverse models, data sets, software and hardware using MLCommons CM (Collective Mind workflow automation framework)

    mlcommons/ck’s past year of commit activity
    Python 602 Apache-2.0 112 12 0 Updated Oct 10, 2024
  • 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 422 Apache-2.0 39 112 (4 issues need help) 16 Updated Oct 10, 2024
  • mobile_models Public

    MLPerf™ Mobile models

    mlcommons/mobile_models’s past year of commit activity
    24 Apache-2.0 10 3 0 Updated Oct 10, 2024
  • mlcommons/cm4mlperf-inference’s past year of commit activity
    0 Apache-2.0 3 4 1 Updated Oct 10, 2024
  • mlcommons/dynabench’s past year of commit activity
    Python 18 MIT 16 7 (1 issue needs help) 4 Updated Oct 9, 2024
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    mlcommons/inference’s past year of commit activity
    Python 1,206 Apache-2.0 527 160 19 Updated Oct 9, 2024
  • cm4mlops Public

    A collection of portable, reusable and cross-platform automation recipes (CM scripts) to make it easier to build and benchmark AI systems across diverse models, data sets, software and hardware

    mlcommons/cm4mlops’s past year of commit activity
    Python 9 Apache-2.0 12 71 (1 issue needs help) 1 Updated Oct 9, 2024
  • GaNDLF Public

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

    mlcommons/GaNDLF’s past year of commit activity
    Python 159 Apache-2.0 79 22 (1 issue needs help) 5 Updated Oct 8, 2024
  • chakra Public

    Repository for MLCommons Chakra schema and tools

    mlcommons/chakra’s past year of commit activity
    Python 59 Apache-2.0 32 17 (3 issues need help) 9 Updated Oct 8, 2024