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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 571

  2. inference inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.3k 545

  3. inference_results_v4.1 inference_results_v4.1 Public

    This repository contains the results and code for the MLPerf™ Inference v4.1 benchmark.

    Python 4 11

  4. training_results_v4.1 training_results_v4.1 Public

    This repository contains the results and code for the MLPerf™ Training v4.1 benchmark.

    Python 4 8

  5. modelbench modelbench Public

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

    Python 82 13

  6. ailuminate ailuminate Public

    The AILuminate v1.1 benchmark suite is an AI risk assessment benchmark developed with broad involvement from leading AI companies, academia, and civil society.

    8 4

Repositories

Showing 10 of 103 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 82 Apache-2.0 13 232 4 Updated Mar 14, 2025
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    mlcommons/inference’s past year of commit activity
    Python 1,328 Apache-2.0 545 189 21 Updated Mar 13, 2025
  • cm4mlperf-results Public

    CM interface and automation recipes to analyze MLPerf Inference, Tiny and Training results. The goal is to make it easier for the community to visualize, compare and reproduce MLPerf results and add derived metrics such as Performance/Watt or Performance/$

    mlcommons/cm4mlperf-results’s past year of commit activity
    Python 5 Apache-2.0 3 2 0 Updated Mar 13, 2025
  • cm4mlops Public

    Legacy CM repository with a collection of portable, reusable and cross-platform CM automations for MLOps and MLPerf to simplify the process of building, benchmarking and optimizing AI systems across diverse models, data sets, software and hardware

    mlcommons/cm4mlops’s past year of commit activity
    Python 16 Apache-2.0 23 9 (1 issue needs help) 0 Updated Mar 13, 2025
  • ck Public

    Collective Knowledge (CK), Collective Mind (CM) and Common Metadata eXchange (CMX): community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf.

    mlcommons/ck’s past year of commit activity
    Python 620 Apache-2.0 119 9 0 Updated Mar 13, 2025
  • mobile_app_open Public

    Mobile App Open

    mlcommons/mobile_app_open’s past year of commit activity
    C++ 53 Apache-2.0 26 35 1 Updated Mar 13, 2025
  • 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 545 Apache-2.0 56 138 (4 issues need help) 22 Updated Mar 13, 2025
  • 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 370 Apache-2.0 72 23 (4 issues need help) 7 Updated Mar 13, 2025
  • logging Public

    MLPerf™ logging library

    mlcommons/logging’s past year of commit activity
    Python 33 Apache-2.0 47 40 2 Updated Mar 12, 2025
  • ailuminate Public

    The AILuminate v1.1 benchmark suite is an AI risk assessment benchmark developed with broad involvement from leading AI companies, academia, and civil society.

    mlcommons/ailuminate’s past year of commit activity
    8 Apache-2.0 4 16 1 Updated Mar 12, 2025
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