Synthetic data generation for tabular data
-
Updated
May 15, 2024 - Python
Synthetic data generation for tabular data
Conditional GAN for generating synthetic tabular data.
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
A toolset to test data classification engines that generates mock data in various file formats, sizes and data profiles.
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
Scripts for data generation using Blender and 3D datasets like Matterport3D.
(Still not complete!!) 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. It provides a user-friendly interface for configuring audio parameters, transcription options, and dataset management.
3D image registration training framework using adaptive loss weighting and synthetic data generation
Official pytorch implementation codes for NeurIPS-2023 accepted paper "Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation"
Implementations of various synthesizers with pytorch.
Few-shot satellite image classification for bringing deep learning on board OPS-SAT
TNO PET Lab - Synthetic Data Generation (SDG) - Tabular - Evaluation - Utility Metrics
temporal + cnn vision model for classification of windmill defects, with unreal-engine data generation and a custom data augmentation suite
Generates midi notes to join two different midi snippets by interpolation with a cubic spline curve
A python module to generate synthetic images from 3D models, for use in image detection/segmentation tasks.
Implementation for the paper: "Privacy-preserving data release leveraging optimal transport and particle gradient descent"
SYNDATA software includes a suite of statistical/machine learning models to generate discrete/categorical synthetic data.
Add a description, image, and links to the synthetic-data-generation topic page so that developers can more easily learn about it.
To associate your repository with the synthetic-data-generation topic, visit your repo's landing page and select "manage topics."