cmind 1.0.3

cmind

Collective Mind meta-framework

Collective Mind (CM) is the second generation of the Collective Knowledge meta-framework (CK) being developed by the open workgroup to modularize complex AI systems and automate their co-design, benchmarking, optimization and deployment across continuously changing software, hardware and data.

© 2022 MLCommons

Apache 2.0 license

Go to the project page for further info.

News

• 2022 September 9: Subscribe to our public workgroup to participate in the development of automation workflows to simplify, modularize and automate ML Systems benchmarking.

• 2022 September 1: We have developed a CM workflow to automate and modularize MLPerf inference benchmark. We continue these developments within a public MLPerf education and reproducibility workgroup.

• 2022 July 25: We updated tutorial about CM scripts: https://github.com/mlcommons/ck/blob/master/cm/docs/tutorial-scripts.md .

• 2022 July 21: We have pre-released relatively stable scripts for portable DevOps and MLOps at https://github.com/mlcommons/ck/tree/master/cm-mlops/script .

• 2022 May 20: We brainstormed the minimal set of portable CM scripts to automate deployment of ML models across diverse hardware and software at OctoML in Seattle, WA.

• 2022 April 3: We presented our approach to bridge the growing gap between ML Systems research and production at the HPCA'22 workshop on benchmarking deep learning systems.

• 2022 March: We were invited to present our concept to enable collaborative and reproducible ML Systems R&D at the SIAM'22 workshop on "Research Challenges and Opportunities within Software Productivity, Sustainability, and Reproducibility"

• 2022 March: We have released the first prototype of the Collective Mind toolkit (aka CK2) based on your feedback and our practical experience reproducing 150+ ML and Systems papers and validating them in the real world.