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.

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

Phi3 中文后训练模型仓库

[ICLR 2025] xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation

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, distributed multi-GPU inference, multimodal capabilities, and a Gradio chat interface.

🧠 Living Consciousness Agent — PureField repulsion-field engine · Engine A ⇄ Engine G · Ψ=1/2 fixed point · 2,448 laws + 392 hypotheses

The open source PII and PHI redaction and de-identification engine

🚀 Easy, open-source LLM finetuning with one-line commands, seamless cloud integration, and popular optimization frameworks. ✨

让医疗机构所有大模型流量：PHI 不外泄 · 模型走白名单 · 全量可审计 · 成本可控。

Interact with any LLM service

[ICML 2026] Decoding Tree Sketching (DTS): a training-free & model agonistic & plug-in framework for LLM parallel reasoning.

Philter redacts sensitive information such as PII and PHI in text.

A set of bash scripts to automate deployment of GGML/GGUF models [default: RWKV] with the use of KoboldCpp on Android - Termux

HIPAA compliant PHI access logging for Ruby on Rails.

A cross platform library with C#/Swift/Kotlin/Python bindings for running Phi inference

Ollmao (OH-luh-MAO) is a native SwiftUI app that integrates with Ollama to run powerful AI models locally on your Mac.

.NET 10 API for document file format identification, text/metadata/attachment/embedded object/sensitive item (PII/PHI/FERPA)/entity extraction.

Local-first PII anonymization and de-anonymization in Go. Multilingual via GLiNER NER + 73 pattern recognizers. Self-host runs as a single binary that never leaves your network.