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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

Pinned

  1. training training Public

    Reference implementations of MLPerf™ training benchmarks

    Python 1.6k 545

  2. inference inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.1k 494

  3. modelbench modelbench Public

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

    Python 38 4

  4. policies policies Public

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

    Python 24 52

  5. training_results_v3.1 training_results_v3.1 Public

    This repository contains the results and code for the MLPerf™ Training v3.1 benchmark.

    Python 16 8

  6. inference_results_v4.0 inference_results_v4.0 Public

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

    8 10

Repositories

Showing 10 of 83 repositories
  • GaNDLF Public

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

    Python 141 Apache-2.0 73 19 (1 issue needs help) 7 Updated Jun 1, 2024
  • mobile_app_open Public

    Mobile App Open

    C++ 38 Apache-2.0 19 27 3 Updated Jun 1, 2024
  • cm4mlops Public

    A collection of 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)

    Python 5 Apache-2.0 9 7 (1 issue needs help) 1 Updated Jun 1, 2024
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1,111 Apache-2.0 494 113 21 Updated May 31, 2024
  • logging Public

    MLPerf™ logging library

    Python 29 Apache-2.0 46 45 10 Updated May 30, 2024
  • policies Public

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

    Python 24 Apache-2.0 52 35 38 Updated May 30, 2024
  • training Public

    Reference implementations of MLPerf™ training benchmarks

    Python 1,564 Apache-2.0 545 53 36 Updated May 30, 2024
  • croissant Public

    Croissant is a high-level format for machine learning datasets that brings together four rich layers.

    Python 284 Apache-2.0 31 86 (4 issues need help) 17 Updated May 30, 2024
  • cm4abtf Public

    CM interface and automation recipes for ABTF

    Python 2 Apache-2.0 0 2 0 Updated May 29, 2024
  • modelbench Public

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

    Python 38 Apache-2.0 4 67 4 Updated May 29, 2024
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