Data license: 
- Website: https://cTuning.org/ae
We are developing the next generation of CK and CM to help automate reproducibility initiatives: cTuning.ai.
We have developed the Collective Mind framework in collaboration with MLCommons to automate reproducibility initiatives and artifact evaluation:
- GitHub
- ACM REP'23 keynote about "Collective Mind: toward a common language to facilitate reproducible research and technology transfer"
- White paper about "enabling more efficient and cost-effective AI/ML systems with Collective Mind, virtualized MLOps, MLPerf, Collective Knowledge Playground and reproducible optimization tournaments"
- CC BY 4.0 license
- Apache 2.0 for the CM framework (2022-cur.)
- BSD 3-clause for the CK framework (2014-2022)
2014-2026 Grigori Fursin and the cTuning foundation
- Artifact Evaluation for Publications (Dagstuhl Perspectives Workshop 15452)
- "Community-driven Reviewing and Validation of Publications"
- "Collective Knowledge: organizing research projects as a database ofreusable components and portable workflows with common APIs"
- ACM TechTalk'21 about "Reproducing 150 Research Papers and Testing Them in the Real World: Challenges and Solutions"
Partial list (2014-2021) is available here.