synthetic-dataset-generation

Context aware, pluggable and customizable data protection and de-identification SDK for text, images and structured data.

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

A framework for prompt tuning using Intent-based Prompt Calibration

Synthetic data curation for post-training and structured data extraction

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

Perception toolkit for sim2real training and validation in Unity

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

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

[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

Compose multimodal datasets 🎹

Unity's privacy-preserving human-centric synthetic data generator

Random dataframe and database table generator

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

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

awesome synthetic (text) datasets