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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 548

  2. inference inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.1k 497

  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 1

  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 12

  5. modelbench modelbench Public

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

    Python 39 6

  6. policies policies Public

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

    Python 25 54

Repositories

Showing 10 of 85 repositories
  • GaNDLF Public

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

    mlcommons/GaNDLF’s past year of commit activity
    Python 149 Apache-2.0 76 18 (1 issue needs help) 8 Updated Jun 29, 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 6 Apache-2.0 12 12 (1 issue needs help) 1 Updated Jun 29, 2024
  • chakra Public

    Repository for MLCommons Chakra schema and tools

    mlcommons/chakra’s past year of commit activity
    Python 44 Apache-2.0 17 7 (3 issues need help) 7 Updated Jun 28, 2024
  • medperf Public

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

    mlcommons/medperf’s past year of commit activity
    Python 137 Apache-2.0 27 52 (1 issue needs help) 14 Updated Jun 28, 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 22 Apache-2.0 4 54 4 Updated Jun 28, 2024
  • inference_policies Public

    Issues related to MLPerf™ Inference policies, including rules and suggested changes

    mlcommons/inference_policies’s past year of commit activity
    54 Apache-2.0 52 18 3 Updated Jun 28, 2024
  • training_policies Public

    Issues related to MLPerf™ training policies, including rules and suggested changes

    mlcommons/training_policies’s past year of commit activity
    Python 91 Apache-2.0 65 107 8 Updated Jun 27, 2024
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    mlcommons/inference’s past year of commit activity
    Python 1,129 Apache-2.0 497 122 19 Updated Jun 27, 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 39 Apache-2.0 6 67 6 Updated Jun 27, 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 341 Apache-2.0 38 100 (4 issues need help) 19 Updated Jun 27, 2024
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