/ck-mlops

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 automate ML/SW/HW co-design and make it easier to deploy efficient ML Systems across diverse platforms:

Primary LanguagePythonOtherNOASSERTION

CK repository with automation workflows for MLPerf and MLOps

compatibility automation Windows Build status

CK compatibility

This repository is compatible with the MLCommons CK framework v2.5.8 (Apache 2.0 license):

Documentation

Overview

This repository contains a collection of stable CK components (automation recipes and workflows) to automate benchmarking, optimization and deployment of ML Systems across diverse platforms, environments, frameworks, models and data sets:

  • CK automation recipes for MLOps: [inside CK framework] [in this repo]
  • CK portable program workflows: [list]
  • CK portable meta packages: [list]
  • CK environment detection (software, models, data sets): [list]
  • CK OS descriptions: [list]
  • CK adaptive containers: [list]

Current projects

Use cases

  • Real-world use cases from our partners: overview

Motivation

Coordinator

Problems

Don't hesitate to report issues or submit feature requests here.

Public discussions

Contact Grigori Fursin to join our MLCommons Design Space Exploration Workgroup (subgroup of Best Practices)!