Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

Unified Schema-Based Information Extraction

A spaCy wrapper for GliNER

Inference engine for GLiNER models, in Rust

A simple tool to anonymize LLM prompts.

AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.

GLiNER model in a FastAPI microservice.

C++ inference engine for running GLiNER (Generalist and Lightweight Named Entity Recognition) models

No description available

Swift port of Gliner2 framework

GLiNER inference in JavaScript

A package for generating synthetic data and fine-tuning a gliner model.

Production inference for encoder models - ColBERT, GLiNER, ColPali, embeddings etc. - as vLLM plugins for online and in-process deployment

privacy-first context graph engine for AI agents and human teams.

Python bindings to Inference engine for GLiNER models written in Rust

Text preprocessing and PII anonymisation for NLP/ML. ONNX NER ensemble, language detection, stopword removal. Built for statistical ML and language models.

An experimental GLiNER2 conversion tool and library

No description available

A collection of open source, SOTA PII/PHI/PCI redaction models based on the GLiNER architecture, and done in collaboration with https://www.knowledgator.com

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

Swift implementation of GLiNER2 with full feature parity for on-device named entity recognition

evaluation scripts for gliner multi-task

GLiNER2 MCP gives your agent three practical superpowers: extract entities, classify meaning, and produce structured JSON from plain language

No description available

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,

Privacy filter for reversible PII masking and de-masking. Uses hybrid GLiNER ML + regex detection for emails, phones, credit cards, SSNs, and crypto addresses across 15+ countries. Includes FastAPI REST API, 610+ comprehensive tests, and Docker deployment.

Sistema RAG avanzato che combina Neo4j e LangGraph per analisi deterministiche di PDF. Sfrutta Mistral come router strategico per query vettoriali o Cypher, GLiNER per l’estrazione di entità e BGE-Reranker per la precisione. Frontend in React con rendering Markdown e Backend in FastAPI. PDF interrogabili in chat in linguaggio naturale.

Ruby inference wrapper for the GLiNER2 ONNX model.

FastAPI service and CLI for detecting Personally Identifiable Information (PII) with GLiNER models.

Biomedical GLiNER model development