#Synthetic-dataset-generation
Showing 25 of 25 repositories tagged #synthetic-dataset-generation, ranked by stars
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
[ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data generation pipeline!
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
NVIDIA Deep learning Dataset Synthesizer (NDDS)
Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes
SynthDet - An end-to-end object detection pipeline using synthetic data
Unity's privacy-preserving human-centric synthetic data generator
Random dataframe and database table generator
NVIDIA Dataset Utilities (NVDU)
(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare
Build an Autonomous Web3 AI Trading Agent (BASE + Uniswap V4 example)
High-performance open-source synthetic data engine. Uses LLMs for schema design and vectorized NumPy for deterministic, scalable generation.
Synthetic Dataset Generation for Object-to-model Deep Learning
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
SynthGenAI - Package for Generating Synthetic Datasets using LLMs.
Implementation of a Hybrid Variational Autoencoder (VAE) for label information-guided dimensionality reduction and data synthesis.
Diagnose the performance of your RAG🩺
Hackathons Models for Wonders of AI 2.0
Code to generate realistic synthetic healthcare data with diffusion models
NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!