TRI-ML / dgp
ML Dataset Governance Policy for Autonomous Vehicle Datasets
Why this job: works in the areas we cover, but does not say which job it does
What it does
To ensure the traceability, reproducibility and standardization for all ML datasets and models generated and consumed within Toyota Research Institute (TRI), we developed the Dataset-Governance-Policy (DGP) that codifies the schema and maintenance of all TRI's Autonomous Vehicle (AV) datasets.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 110
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.0.0
- Released 18 months ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 67% closed
- 6 still open
- Pull requests
- 123 merged
- 5 waiting
- Releases
- 8
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 99%
- Makefile <1%
- Dockerfile <1%
- Shell <1%
Topics
- autonomous-driving
- data-management
- deep-learning
- machine-learning
- pytorch
Project record
- JobOther AI tools
- StatusListed
- Commits123
- Forks67
- Watching7
- Stars in 28 days0
- CreatedMay 11, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026