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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 563

  2. inference inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.3k 541

  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 3 9

  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 6

  5. modelbench modelbench Public

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

    Python 75 12

  6. policies policies Public

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

    Python 28 55

Repositories

Showing 10 of 103 repositories
  • mlperf-automations Public

    This repository contains automation scripts designed to run MLPerf Inference benchmarks. Originally developed for the Collective Mind (CM) automation framework, these scripts have been adapted to leverage the MLC automation framework, maintained by the MLCommons Benchmark Infrastructure Working Group.

    mlcommons/mlperf-automations’s past year of commit activity
    Python 1 Apache-2.0 9 49 (1 issue needs help) 1 Updated Feb 3, 2025
  • mlperf_inference_unofficial_submissions_v5.0 Public

    These are automated test submissions for validating the MLPerf inference workflows

    mlcommons/mlperf_inference_unofficial_submissions_v5.0’s past year of commit activity
    Mermaid 0 2 0 0 Updated Feb 3, 2025
  • mlperf_inference_test_submissions_v5.0 Public
    mlcommons/mlperf_inference_test_submissions_v5.0’s past year of commit activity
    HTML 0 4 0 0 Updated Feb 3, 2025
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    mlcommons/inference’s past year of commit activity
    Python 1,292 Apache-2.0 541 173 15 Updated Feb 3, 2025
  • ck Public

    Collective Knowledge (CK) and Common Metadata eXchange (CMX): community-driven projects to learn how to run AI, ML and other emerging workloads in a more efficient and cost-effective way across diverse models, datasets, software and hardware using MLPerf automations, CK playground and open challenges

    mlcommons/ck’s past year of commit activity
    Python 613 Apache-2.0 120 13 0 Updated Feb 2, 2025
  • cm4mlops Public

    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 24 7 (1 issue needs help) 1 Updated Feb 2, 2025
  • tiny Public

    MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers

    mlcommons/tiny’s past year of commit activity
    C 370 Apache-2.0 94 13 6 Updated Feb 2, 2025
  • 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 17 5 5 Updated Feb 2, 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 351 Apache-2.0 68 30 (5 issues need help) 12 Updated Feb 2, 2025
  • mlcflow Public

    MLCFlow: Simplifying MLPerf Automations

    mlcommons/mlcflow’s past year of commit activity
    Python 3 Apache-2.0 6 6 (2 issues need help) 1 Updated Feb 2, 2025
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