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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 560

  2. inference inference Public

    Reference implementations of MLPerf™ inference benchmarks

    Python 1.2k 536

  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 2 8

  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 2 2

  5. modelbench modelbench Public

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

    Python 62 11

  6. policies policies Public

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

    Python 28 54

Repositories

Showing 10 of 94 repositories
  • 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 334 Apache-2.0 69 32 (7 issues need help) 7 Updated Nov 21, 2024
  • GaNDLF Public

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

    mlcommons/GaNDLF’s past year of commit activity
    Python 165 Apache-2.0 79 16 (1 issue needs help) 3 Updated Nov 21, 2024
  • 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 13 Apache-2.0 20 76 (1 issue needs help) 2 Updated Nov 21, 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 93 Apache-2.0 66 109 3 Updated Nov 21, 2024
  • logging Public

    MLPerf™ logging library

    mlcommons/logging’s past year of commit activity
    Python 30 Apache-2.0 46 40 3 Updated Nov 21, 2024
  • inference Public

    Reference implementations of MLPerf™ inference benchmarks

    mlcommons/inference’s past year of commit activity
    Python 1,238 Apache-2.0 536 165 15 Updated Nov 21, 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 62 Apache-2.0 11 143 4 Updated Nov 21, 2024
  • dynabench Public
    mlcommons/dynabench’s past year of commit activity
    Python 19 MIT 16 7 (1 issue needs help) 5 Updated Nov 19, 2024
  • policies Public

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

    mlcommons/policies’s past year of commit activity
    Python 28 Apache-2.0 54 35 38 Updated Nov 19, 2024
  • cm4mlperf-inference Public
    mlcommons/cm4mlperf-inference’s past year of commit activity
    1 Apache-2.0 35 3 1 Updated Nov 19, 2024
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