Novel recurrent layers for Flux.jl

Social media platforms like Twitter are key sources of information during disasters, but sorting relevant tweets is challenging. In this project, I used machine learning to classify tweets as disaster-related or not, applying models like RNNs, BiLSTMs, GRUs, and ALBERT on a Kaggle dataset labeled for disaster content.

SageMaker implementation of recurrent neural networks (RNNs) for time series forecasting.

fantasy football performance predictor

This project involves building a sentiment analysis model using Recurrent Neural Networks (RNNs) to classify movie reviews from the IMDb dataset as either positive or negative. The model is built using TensorFlow and Keras and incorporates advanced RNN techniques such as Bidirectional GRU layers with dropout for regularization.

Developed an NLP system using Gradio and Hugging Face to classify disaster tweets with both machine learning (ML) and deep learning (DL) models.

Streamlit-based web app for classifying chest X-ray images to detect COVID-19 and Pneumonia using TensorFlow and Keras

this is a project that predicts the cloud coverage percentage int next 15, 25 and 30 minutes based on the data of past 6 hours

Developing a PyTorch-based solution for predicting future values in financial time series data, leveraging RNNs and GRUs as part of the M3 competition for time series forecasting.

🛡️ A GRU deep learning system against attacks in Software Defined Networks (SDN).

This repository contains three variants of a Sentiment Analysis model that uses a GRU (Gated Recurrent Unit) to predict the sentiment of a given text as either positive or negative. The models were built using PyTorch, and the training and testing data came from DLStudio

Details of certified courses covered by me. Includes notes and solutions to programming exercises.

Image captioning with a benchmark of CNN-based encoder and GRU-based inject-type (init-inject, pre-inject, par-inject) and merge decoder architectures

Neural Networks project for Intelligent Systems course at Tecnico, Lisbon.

doctor_prescription_recognization_using_DeepLearning project for epics

👾 Specialization on Deep Learning with TensorFlow on Coursera offered by DeepLearning.AI

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Triplet Loss Based User Analysis