Tabular Data Generation
CTAB-GAN
Introduced by Kunar in Effective and Privacy preserving Tabular Data SynthesizingCTAB-GAN is a model for conditional tabular data generation. The generator and discriminator utilize the DCGAN architecture. An auxiliary classifier is also used with an MLP architecture.
Source: Effective and Privacy preserving Tabular Data Synthesizing
Papers
| Paper | Code | Results | Date | Stars |
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Usage Over Time
Components
| Component | Type |
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|---|---|---|
DCGAN
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Generative Models | |
Dropout
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Regularization | |
Feedforward Network
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Feedforward Networks | |
Leaky ReLU
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Activation Functions |
