Synthetic data generation for tabular data

Conditional GAN for generating synthetic tabular data.

Synthetic Data SDK ✨

A library to model multivariate data using copulas.

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

Synthetic Data Generation for mixed-type, multivariate time series.

(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare

Synthetic Data Engine 💎

Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs

[TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

Flow Matching implemented in PyTorch

A toolset to test data classification engines that generates mock data in various file formats, sizes and data profiles.

[ACL 2024 Findings] This is the code for our paper "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models".

[ECCV'24 Workshops Oral] DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling

This UI serves as a Synthetic ASR Dataset Generator powered by/for OpenAI Whisper, enabling users to capture audio, transcribing it, on the fly and manage the generated dataset 🤗. Fine tune Whisper or enhanced and custom datasets

Synthetic data generation to fuel AI models

Scripts for data generation using Blender and 3D datasets like Matterport3D.

Building synthetic data for preference tuning

A testbed for agents and environments that can automatically improve models through data generation.

[ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs