Deep generative model for synthetic data generation

BSC Group: Life Sciences Software

The technology is a deep generative model for synthetic data generation. The model is a VAE (Variational AutoEncoder) equipped with two algorithms for explainability, XGBoost (Extreme Gradient Boosting) and SHAP (SHapley Additive exPlanations).

Software Author: 
Davide Cirillo, Alejandro Tejada Lapuerta
License: 

MIT License

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