CM4MLOps repository is powered by the Collective Mind automation framework, a Python package with a CLI and API designed for creating and managing automations.
Two key automations developed using CM are Script and Cache, which streamline machine learning (ML) workflows, including managing Docker runs. Both Script and Cache automations are part of the cm4mlops repository.
The CM scripts, also housed in this repository, consist of hundreds of modular Python-wrapped scripts accompanied
by yaml metadata, enabling the creation of robust and flexible ML workflows.
- CM Scripts Documentation: https://docs.mlcommons.org/cm4mlops/
- CM CLI Documentation: https://docs.mlcommons.org/ck/specs/cm-cli/
The mlperf-branch of the cm4mlops repository is dedicated to developments specific to MLPerf Inference. Please submit any pull requests (PRs) to this branch. For more information about using CM for MLPerf Inference, refer to the MLPerf Inference Documentation.
Check the ACM REP'23 keynote.
Grigori Fursin and Arjun Suresh
Arjun Suresh, Anandhu S, Grigori Fursin
We thank cKnowledge.org, cTuning foundation and MLCommons for sponsoring this project!
We thank all volunteers, collaborators and contributors for their support, fruitful discussions, and useful feedback!