[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)

Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry

Road Traffic forecasting system on video data built with keras and deployed with flask :

Gated Recurrent Unit implementation from scratch

Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.

Predicting Discharge in Catchment Outlet Using Deep Learning: Case Study of the Ansongo-Niamey Basin

This is just a simple RNN text generation model that generates new scripts of Friends TV Show.

Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.

This repository is for Fake News Detection using Deep Learning models

Time Series Data and Analysis Course Project - Predict HPG and MWG Stock Prices using ARIMA, LSTM, and GRU model

Conducted research in the fusion of machine learning models to improve stock market index prediction accuracy. Evaluated individual models (LSTM, RF, LR, GRU) and compared their performance to fusion prediction models (RF-LSTM, RF-LR, RF-GRU).

GRU-Gated Attention Model Implementation in order to train it to translate over Cap-verdian criole to English.

Introductory-Gru

電影評論情緒分析

Our Fake News Detector will take articles as input and use their titles and text bodies to determine if that corpora is real or fake news.

This repository contains a comprehensive analysis of time series data (stock prices), forecasted using various statistical and deep learning models.