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1. neural-based-dependency-parsing-with-ArcEager neural-based-dependency-parsing-with-ArcEager Public

   This project is about neural transition-based parsing for dependency grammars with unlabelled dependencies, with 2 different neural approach: BiLSTM and BERT. Both models are trained and tested on …

   Jupyter Notebook 1

2. smoking-prediction smoking-prediction Public

   This project predicts whether an individual has ever smoked using health data such as blood pressure, cholesterol, and body measurements. Based on a dataset from South Korea, various models like lo…

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3. GD_and_BCGD_optimization GD_and_BCGD_optimization Public

   Forked from filippo2206/GD_and_BCGD_optimization

   Different methods to approach semisupervised learning as an optimization problem with Gradient Descent, BCGD with randomized rule and BCGD with Gauss- Southwell rule.

   Jupyter Notebook