Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and processing large text collections with ML and for ML

Versatile framework designed to streamline the integration of your models, as well as those sourced from Hugging Face, into complex programs

A comprehensive, metadata-driven Python library for data quality checks and validation. pipeDQ is built to scale from your local laptop to massive distributed clusters. It dynamically detects your environment and intelligently routes execution to the fastest available backend.