MLCommons
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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.
- MLCommons policies
- Public repositories license: Apache 2.0
- Code of Conduct
- Code of Conduct FAQ
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Repositories
- inference_policies Public
Issues related to MLPerf® Inference policies, including rules and suggested changes
- endpoints-submission-cli Public
- 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.
- training_policies Public
Issues related to MLPerf™ training policies, including rules and suggested changes
- mlperf_client Public
MLPerf Client is a benchmark for Windows, Linux and macOS, focusing on client form factors in ML inference scenarios.
- modelbench Public
Run safety benchmarks against AI models and view detailed reports showing how well they performed.
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