Tags: #synthetic-data

A Python library for generating and curating high-quality synthetic data for AI model training and structured data extraction.

An open-source platform for developers to anonymize PII, generate synthetic data, and sync environments, enabling secure testing and compliance.

Distilabel is a framework for engineers to build fast, reliable, and scalable pipelines for synthetic data generation and AI feedback, based on verified research.

A flexible framework by NVIDIA NeMo for generating high-quality synthetic datasets with diverse distributions, meaningful correlations, and robust validation.