| dbo:abstract
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- The Collective Knowledge (CK) project is an open-source framework and repository to enable collaborative, reproducible and sustainable research and development of complex computational systems. CK is a small, portable, customizable and decentralized infrastructure helping researchers and practitioners:
* share their code, data and models as reusable Python components and automation actions with unified JSON API, JSON meta information, and a UID based on FAIR principles
* assemble portable workflows from shared components (such as multi-objective autotuning and Design space exploration)
* automate, crowdsource and reproduce benchmarking of complex computational systems
* unify predictive analytics (scikit-learn, R, DNN)
* enable reproducible and interactive papers (en)
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- 8454 (xsd:nonNegativeInteger)
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- Grigori Fursin and the cTuning foundation (en)
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| dbp:genre
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- Knowledge management, FAIR data, MLOps, Data management, Artifact Evaluation, Package management system, Scientific workflow system, DevOps, Continuous integration, Reproducibility (en)
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- Apache License for version 2.0 and BSD License 3-clause for version 1.0 (en)
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- Collective Knowledge and cTuning logo.png (en)
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| dbp:name
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- Collective Knowledge (en)
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| rdfs:comment
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- The Collective Knowledge (CK) project is an open-source framework and repository to enable collaborative, reproducible and sustainable research and development of complex computational systems. CK is a small, portable, customizable and decentralized infrastructure helping researchers and practitioners: (en)
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| rdfs:label
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- Collective Knowledge (software) (en)
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- Collective Knowledge (CK) (en)
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