fabiano filho

I'm using PyTorch to implement Neural Oblivious Decision Ensembles (NODE), who learns deep ensembles of oblivious differentiable decision trees on tabular data. NODE architecture consistently outperforms both CatBoost and XGBoost on all datasets tested (Popov, 2019).

I'm using Ludwig in order to easily classify texts from healthcare datasets

I started using gitbook to organize Machine Learning pipeline and articles news in healthcare.