Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
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Updated
Jun 5, 2024 - Go
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
Synthetic data generation for tabular data
A library to model multivariate data using copulas.
Synthetic Data Generation for mixed-type, multivariate time series.
Conditional GAN for generating synthetic tabular data.
Few-shot satellite image classification for bringing deep learning on board OPS-SAT
Implementation for the paper: "Privacy-preserving data release leveraging optimal transport and particle gradient descent"
(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.
An comparative investigation into WGAN-GP, CTGAN, TimeGAN and DoppelGANger usage for generating synthetic time series finance data for use in forecasting model
Unity's privacy-preserving human-centric synthetic data generator
TNO PET Lab - Synthetic Data Generation (SDG) - Tabular - Evaluation - Utility Metrics
mVARbox is a Matlab toolbox for uni/multivariate data series analysis in both time/space and frequency domains, with focus on mutivariate autoregressive (VAR) models
Synthetic Data Generation and Evaluation
Files for the synthetic data presentation at the Open Science Festival 2022
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
A toolset to test data classification engines that generates mock data in various file formats, sizes and data profiles.
Official pytorch implementation codes for NeurIPS-2023 accepted paper "Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation"
temporal + cnn vision model for classification of windmill defects, with unreal-engine data generation and a custom data augmentation suite
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