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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 555

  2. inference inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.2k 528

  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 11 14

  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 7

  5. modelbench modelbench Public

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

    Python 57 8

  6. policies policies Public

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

    Python 27 54

Repositories

Showing 10 of 92 repositories
  • 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 10 Apache-2.0 13 76 (1 issue needs help) 0 Updated Oct 17, 2024
  • training Public

    Reference implementations of MLPerf™ training benchmarks

    mlcommons/training’s past year of commit activity
    Python 1,606 Apache-2.0 555 19 40 Updated Oct 17, 2024
  • GaNDLF Public

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

    mlcommons/GaNDLF’s past year of commit activity
    Python 160 Apache-2.0 79 22 (1 issue needs help) 4 Updated Oct 17, 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 427 Apache-2.0 39 112 (4 issues need help) 16 Updated Oct 17, 2024
  • logging Public

    MLPerf™ logging library

    mlcommons/logging’s past year of commit activity
    Python 30 Apache-2.0 46 41 1 Updated Oct 17, 2024
  • inference_results_v4.0 Public

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

    mlcommons/inference_results_v4.0’s past year of commit activity
    10 Apache-2.0 16 5 4 Updated Oct 17, 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 604 Apache-2.0 113 13 1 Updated Oct 17, 2024
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    mlcommons/inference’s past year of commit activity
    Python 1,211 Apache-2.0 528 160 20 Updated Oct 17, 2024
  • mobile_app_open Public

    Mobile App Open

    mlcommons/mobile_app_open’s past year of commit activity
    C++ 45 Apache-2.0 22 32 5 Updated Oct 17, 2024
  • algorithmic-efficiency Public

    MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

    mlcommons/algorithmic-efficiency’s past year of commit activity
    Python 324 Apache-2.0 63 25 (2 issues need help) 6 Updated Oct 17, 2024
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