RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.

Deep learning anomaly detection on spatio-temporal AIS data by combining a multi-headed self-attention structure with bidirectional long short term memory(BLSTM) into a Variational Autoencoder (VAE).

Regional ADR event detection using Deep Learning

AB-LSTM: Attention-Based Bidirectional LSTM Model for Scene Text Detection

Punctuation Prediction Using NER Models.

Python notebook to get real time news, save them to mongoDB and get sentiment/relevance (SVM, BLSTM) + Docker

Neural network model that predicts the number of syllables in an English word. It shows its creation end-to-end: from data collection to evaluation of various models. One of the explored models is used in the Readgauge app.

Trabajo Práctico Final para la materia Organización de Datos 75.06 - UBA. Score máximo obtenido de 0.83726 para la competencia 'Real or Not? NLP with Disaster Tweets' de Kaggle.

♨️ A toxic comment classifier built using a BLSTM neural network, offering a user-friendly interface to input comments and determine whether if its toxic based of several factors.

This project develops sentiment classification models for IMDB reviews using shallow RNN, unidirectional LSTM, and bidirectional LSTM. It employs GloVe embeddings, evaluates performance with accuracy, precision, recall, and F1 score, and aims to assess the impact of LSTM layers on model effectiveness. This is just to learn basic concepts properly.