A library for generating and evaluating synthetic tabular data.
Tired of generating synthetic corgis❓🐶
🌟 Check out Synthcity, a library for generating and benchmarking synthetic tabular data. https://github.com/vanderschaarlab/synthcity #syntheticdata #tabulardata #privacy
🚀 Synthcity includes a wide range of algorithms for various use cases, such as:
- tabular data(CTGAN, TVAE, Bayesian Networks etc)
- survival analysis(SurvivalGAN etc).
- time series(Fourier Flows, TimeGAN, etc.).
- privacy-focused(DP-GAN, PATEGAN, AdsGAN, DECAF).
- domain adaptation(RadialGAN).
🔍 Synthcity supports benchmarking multiple algorithms, testing data quality, downstream performance, statistical fidelity, and privacy metrics.
🌀 Give it a try:
- Library: https://github.com/vanderschaarlab/synthcity
- Tutorial: https://colab.research.google.com/drive/1Vr2PJswgfFYBkJCm3hhVkuH-9dXnHeYV?usp=sharing
- Docs: https://synthcity.readthedocs.io/
