Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Named Entity Recognition (NER) with different combinations of BiGRU, Self-Attention and CRF

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Named Entity Recognition - Python - Keras

CoreML compatible GRU neural network for dynamic prediction

Code for Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical Data

Codes for EEE 443 Neural Networks Projects

I constructed a knowledge graph of stakeholders of Bavarian state ministries and used network analysis to calculate statistics. Furthermore time-series feature forecasting and topological link prediction was employed to analyze the evolution of the network.

Implementation of the model inversion attack on the Gated-Recurrent-Unit neural network

LSTM vs GRU

Algorithm to convert between various languages with the help of NLP techniques