A simple tool to anonymize LLM prompts.

Python bindings to Inference engine for GLiNER models written in Rust

Easily configurable API & frontend providing simple access to dynamic NER models.

BrainUp is an AI-driven self-improvement app created for Hack the Hill 2024. It analyzes saved Instagram reels and posts to recommend productive activities and classes based on user interests. Built with ReactJS for the frontend and a Flask API for the backend, BrainUp leverages AI models like HDBSCAN, MPnet-base v2, and Mistral for data analysis,

Leverage ModernGLiNER's capabilities using LitServe.

NER on PDF file using Rust

🔎 NER (Named Entity Recognition) Application with Gliner 🛠️

Langchain compatible GraphRAG implementation

🛡️ Text Anonymizer using NuNER Zero-shot An academic project that auto-detects & masks sensitive entities (names, orgs, locations) in .txt/.docx files using Zero-shot NER. Features CLI & REST API. Replaces data with realistic fakes (Faker) or [REDACTED]. Built with Python, Flask, GLiNER.

too many unstructured data, alok has too many req, seeing what helps

Information extraction for Rust: NER, coreference resolution, and evaluation. Supports regex patterns, transformer models (BERT, GLiNER, GLiNER2), and coreference resolution with comprehensive metrics.

GLiner-TransbronchialBiopsy is a specialized NER system for extracting medical entities from transbronchial biopsy reports, focused on transplant rejection.

An example of an API which extracts named entities from a provided user query