Metadata-Version: 2.1
Name: cmind
Version: 1.0.2
Summary: cmind
Home-page: https://github.com/mlcommons/ck/tree/master/cm
Author: Grigori Fursin
Author-email: grigori@octoml.ai
License: Apache 2.0
Description: # Collective Mind meta-framework
        
        Collective Mind (CM) is the second generation of the Collective Knowledge meta-framework (CK)
        being developed by the [open workgroup](https://github.com/mlcommons/ck/blob/master/docs/mlperf-education-workgroup.md)
        to modularize complex AI systems and automate their co-design, benchmarking, 
        optimization and deployment across continuously changing software, hardware and data.
        
        [![PyPI version](https://badge.fury.io/py/cmind.svg)](https://pepy.tech/project/cmind)
        [![Python Version](https://img.shields.io/badge/python-3+-blue.svg)](https://github.com/mlcommons/ck/tree/master/cm)
        [![License](https://img.shields.io/badge/License-Apache%202.0-green)](https://github.com/mlcommons/ck/tree/master/cm)
        [![CM(CK2) test](https://github.com/mlcommons/ck/actions/workflows/test-cm.yml/badge.svg)](https://github.com/mlcommons/ck/actions/workflows/test-cm.yml)
        
        &copy; 2022 [MLCommons](https://mlcommons.org)<br>
        
        Apache 2.0 license
        
        
        *Go to the [project page](https://github.com/mlcommons/ck) for further info*. 
        
        
        # News
        
        * **2022 September 9:** Subscribe to our [public workgroup](https://github.com/mlcommons/ck/tree/master/docs/mlperf-education-workgroup.md) 
          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](https://github.com/mlcommons/ck/blob/master/docs/mlperf-cm-automation-demo.md).
          We continue these developments within a public [MLPerf education workgroup](https://github.com/mlcommons/ck/tree/master/docs/mlperf-education-workgroup.md).
        
        * **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](https://cknowledge.org/docs/cm/tutorial-scripts.html) to automate deployment of ML models across diverse hardware and software at [OctoML](https://OctoML.ai) 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](https://sites.google.com/g.harvard.edu/mlperf-bench-hpca22/home).
        
        * **2022 March:** We were invited to present our concept to [enable collaborative and reproducible ML Systems R&D](https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=73126) 
          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)](https://github.com/mlcommons/ck/tree/master/cm)
          based on your feedback and our practical experience [reproducing 150+ ML and Systems papers and validating them in the real world](https://learning.acm.org/techtalks/reproducibility).
        
Keywords: collective mind,cmind,cdatabase,cmeta,automation,reusability,meta,JSON,YAML,python
Platform: UNKNOWN
Description-Content-Type: text/markdown
