#自然语言处理#An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
#大语言模型#Large Language Models (LLMs) applications and tools running on Apple Silicon in real-time with Apple MLX.
Scan databases and data warehouses for PII data. Tag tables and columns in data catalogs like Amundsen and Datahub
#大语言模型#[ICLR 2025] xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
#大语言模型#Higher performance OpenAI LLM service than vLLM serve: A pure C++ high-performance OpenAI LLM service implemented with GPRS+TensorRT-LLM+Tokenizers.cpp, supporting chat and function call, AI agents, d...
#大语言模型#🚀 Easy, open-source LLM finetuning with one-line commands, seamless cloud integration, and popular optimization frameworks. ✨
The open source PII and PHI redaction and de-identification engine
Ollmao (OH-luh-MAO) is a native SwiftUI app that integrates with Ollama to run powerful AI models locally on your Mac.
A cross platform library with C#/Swift/Kotlin/Python bindings for running Phi inference
.NET 8 API for document file format identification, text/metadata/attachment/embedded object/sensitive item (PII/PHI)/entity extraction.
A collection of classes for data representation from Base16 (hex) to Base2048 written in JavaScript.
#自然语言处理#AI voice assistant made with Streamlit python and powered by Gemini, Mistral and PHI-3
Philter redacts sensitive information such as PII and PHI in text.
