Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Synthcity is an open-source software package for innovative use cases of synthetic data in ML fairness, privacy and augmentation across diverse tabular data modalities, including static data, regular and irregular time series, data with censoring, multi-source data, composite data, and more. Synthci...

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Bibliographic Details
Published in:arXiv.org 2023-01
Main Authors: Qian, Zhaozhi, Bogdan-Constantin Cebere, van der Schaar, Mihaela
Format: Article
Language:English
Subjects:
Experimentation
Playgrounds
Prototyping
Synthetic data
Tables (data)
Online Access:Get full text
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Description
Summary:Synthcity is an open-source software package for innovative use cases of synthetic data in ML fairness, privacy and augmentation across diverse tabular data modalities, including static data, regular and irregular time series, data with censoring, multi-source data, composite data, and more. Synthcity provides the practitioners with a single access point to cutting edge research and tools in synthetic data. It also offers the community a playground for rapid experimentation and prototyping, a one-stop-shop for SOTA benchmarks, and an opportunity for extending research impact. The library can be accessed on GitHub (https://github.com/vanderschaarlab/synthcity) and pip (https://pypi.org/project/synthcity/). We warmly invite the community to join the development effort by providing feedback, reporting bugs, and contributing code.
ISSN:2331-8422