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reusability

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Collective Knowledge framework (CK) helps to organize software projects as a database of reusable components, automation recipes and portable workflows with common APIs and extensible meta descriptions based on FAIR principles. See the real-world use cases to support reproducible MLSys R&D, enable portable MLOps and automate ML/SW/HW co-design:

  • Updated Jul 30, 2021
  • Python

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format with a common CLI, Python API, extensible meta descriptions and web services. See real world use cases to co-design, benchmark and deploy efficient ML Systems from MLCommons/MLPerf, Qualcomm, Arm, GM, the Raspberry Pi foundation, ACM and others:

  • Updated Jul 30, 2021
  • C

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