Popular GitHub Repositories for Synthetic Dataset Generation

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

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

[NeurIPS D&B Track 2024] Official implementation of HumanVid

awesome synthetic (text) datasets

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

[ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

BEDLAM (CVPR 2023) render pipeline tools

Solving data for LLMs - Create quality synthetic datasets!

SynCD: Generating Multi-Image Synthetic Data for Text-to-Image Customization

Optimize Document Retrieval with Fine-Tuned KnowledgeBases

Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation (NeurIPS2023)

Repository to identify Lego bricks automatically only using images