Open-source version of the TDspora:SynGen synthetic data generation tool
10K+
EPAM Syngen is an unsupervised tabular data generation tool. It is useful for the generation of test data with a given table as a template. Most datatypes including floats, integers, datetime, text, categorical, binary are supported. The linked tables i.e., tables sharing a key can also be generated using the simple statistical approach. The source of data might be in CSV, Avro, and Excel format and should be located locally and be in UTF-8 encoding. The tool is based on the variational autoencoder model (VAE). The Bayesian Gaussian Mixture model is used to further detangle the latent space.
The image is available at tdspora/syngen.
Please refer to the Syngen README.md for more information on how to use this image or to report any issues.
Content type
Image
Digest
sha256:40b01802b…
Size
2.6 GB
Last updated
about 6 hours ago
docker pull tdspora/syngen