SS-GEN

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Synthetic data curation for post-training and structured data extraction

Perception toolkit for sim2real training and validation in Unity

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

[ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data generation pipeline!

A curated list of awesome projects which use Machine Learning to generate synthetic content.

NVIDIA Deep learning Dataset Synthesizer (NDDS)

Generate large synthetic data using an LLM

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

SynthDet - An end-to-end object detection pipeline using synthetic data