Metadata-Version: 2.1
Name: cmind
Version: 1.1.5
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: [![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/cmind)
        [![Downloads](https://pepy.tech/badge/cmind/month)](https://pepy.tech/project/cmind)
        [![License](https://img.shields.io/badge/License-Apache%202.0-green)](LICENSE.md)
        
        [![CM test](https://github.com/mlcommons/ck/actions/workflows/test-cm.yml/badge.svg)](https://github.com/mlcommons/ck/actions/workflows/test-cm.yml)
        [![CM script automation features test](https://github.com/mlcommons/ck/actions/workflows/test-cm-script-features.yml/badge.svg)](https://github.com/mlcommons/ck/actions/workflows/test-cm-script-features.yml)
        
        ### About
        
        The Collective Knowledge project (CK) is motivated by our tedious experience reproducing experiments 
        from [150 research papers](https://learning.acm.org/techtalks/reproducibility)
        and validating them in the real world - we decided to develop a universal and human-readable 
        interface to access any software project and run it on any platform with any software, hardware and data.
        
        The [Collective Mind tool (CM)](https://github.com/mlcommons/ck/tree/master/cm/cmind)
        helps users to add this universal interface to their software projects and transform them into a 
        [database of portable and reusable components](https://github.com/mlcommons/ck/blob/master/docs/list_of_scripts.md)
        in a transparent and non-intrusive way.
        
        CM is being developed by the [open MLCommons taskforce](https://github.com/mlcommons/ck/blob/master/docs/mlperf-education-workgroup.md) 
        to solve the "dependency hell" for ML and AI systems, reduce their development, benchmarking, optimization and deployment time and costs,
        and automate [reproducibility initiatives and artifact evaluation at conferences](https://github.com/mlcommons/ck/blob/master/docs/tutorials/sc22-scc-mlperf.md).
        
        
        ### Documentation and the Getting Started Guide
        
        * [Table of contents](https://github.com/mlcommons/ck/tree/master/docs/README.md)
        
        ### Copyright
        
        2021-2022 [MLCommons](https://mlcommons.org)
        
        ### Maintainers
        
        * [Grigori Fursin](https://cknowledge.io/@gfursin)
        * [Arjun Suresh](https://www.linkedin.com/in/arjunsuresh)
        
        
        ### Acknowledgments
        
        This project is supported by [MLCommons](https://mlcommons.org), [OctoML](https://octoml.ai) 
        and [individual contributors](https://github.com/mlcommons/ck/blob/master/CONTRIBUTING.md).
        
Keywords: collective mind,cmind,cdatabase,cmeta,automation,reusability,meta,JSON,YAML,python
Platform: UNKNOWN
Description-Content-Type: text/markdown
