Statements (30)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:citation |
Patki, N., Wedge, R., & Veeramachaneni, K. (2016). The Synthetic Data Vault. In 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) (pp. 399-410).
|
| gptkbp:developedBy |
Data to AI Lab at MIT
|
| gptkbp:documentation |
https://docs.sdv.dev/sdv/
|
| gptkbp:firstReleased |
2018
|
| https://www.w3.org/2000/01/rdf-schema#label |
Synthetic Data Vault (SDV)
|
| gptkbp:includes |
CTGAN
CopulaGAN GaussianCopula ParentalGAN TVAE |
| gptkbp:license |
gptkb:Apache_License_2.0
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:purpose |
data modeling
synthetic data generation privacy-preserving data analysis |
| gptkbp:relatedTo |
gptkb:DataSynthesizer
gptkb:Gretel.ai synthpop |
| gptkbp:repository |
https://github.com/sdv-dev/SDV
|
| gptkbp:supports |
time series data
tabular data relational data multi-table data |
| gptkbp:usedFor |
gptkb:machine_learning
data augmentation benchmarking privacy research |
| gptkbp:bfsParent |
gptkb:Kalyan_Veeramachaneni
|
| gptkbp:bfsLayer |
8
|