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.
MIT License
A unified evaluation framework for large language models
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.
This repo centralizes assets used by Microsoft CSAs. It is available to all organizations for edu...
Repo for WWW 2022 paper: Progressively Optimized Bi-Granular Document Representation for Scalable...
GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused app...
A versatile tool designed to help prototype intelligent assistants, agents and multi-agentic systems
AI-Sentry: A lightweight, pluggable facade layer for Azure Open AI, addressing common cross-cutti...
Generative AI Scripting for VSCode
AICI: Prompts as (Wasm) Programs
Context aware, pluggable and customizable data protection and de-identification SDK for text and ...
End-to-end Presidio evaluation toolkit uses Presidio, hugging face transformers, Azure Language S...
Generation of protein sequences and evolutionary alignments via discrete diffusion models