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presidio-research
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.
★299stars
Jupyter Notebook
MIT
Updated: 2d ago
📋 Project at a Glance
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What's this?Security & Governance project leveraging deep-learning and flair, built with Jupyter Notebook, open-source
Who made it?Maintained by data-privacy-stack team, 299⭐ on GitHub, #230 out of 413 in Security & Governance
Why does it exist?With the growing demand for deep-learning and flair in Security & Governance, data-privacy-stack created presidio-research as a streamlined solution.
What can it do?Key use cases: machine-learning, named-entity-recognition, natural-language-processing
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/data-privacy-stack/presidio-research | 官网 https://data-privacy-stack.github.io/presidio-research/
🔗 github.com/data-privacy-stack/presidio-research | 官网 https://data-privacy-stack.github.io/presidio-research/
Topics
deep-learningflairmachine-learningnamed-entity-recognitionnatural-language-processingnernlppiiprivacyspacytransformers