data-privacy-stack / presidio-research
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
Why this job: matched by what the repo talks about: evaluation, evaluat, model, task
What it does
This package provides evaluation and data-science capabilities for Presidio and PII detection models in general.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 24 days ago
- Stars
- 321
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.3.2
- Released 3 months ago
- Built with
- Jupyter Notebook
- 67% of the code
Is it looked after?
- Contributors
- 5
- Last 90 days
- Issues
- 97% closed
- 2 still open
- Pull requests
- 121 merged
- 3 waiting
- Releases
- 8
- 3 in the last year
- No contributing guide
- Security policy (opens in new tab)
- Code of conduct (opens in new tab)
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| MantisAI / nervaluate | 225 | 8 months ago | MIT | No downloads |
| The-FinAI / PIXIU | 896 | 35 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Jupyter Notebook 67%
- Python 33%
Topics
- natural-language-processing
- nlp
- pii
- privacy
- spacy
- flair
- named-entity-recognition
- ner
- deep-learning
- machine-learning
- transformers
Project record
- JobEvals and observability
- StatusListed
- Commits502
- Forks83
- Watching8
- Stars in 28 days+4
- CreatedJan 5, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026