Gated Recurrent Unit implementation from scratch
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Updated
Dec 22, 2017 - Python
Gated Recurrent Unit implementation from scratch
This repository is for Fake News Detection using Deep Learning models
Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.
This is just a simple RNN text generation model that generates new scripts of Friends TV Show.
AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)
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.
Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.
Road Traffic forecasting system on video data built with keras and deployed with flask :
Predicting Discharge in Catchment Outlet Using Deep Learning: Case Study of the Ansongo-Niamey Basin
Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry
GRU-Gated Attention Model Implementation in order to train it to translate over Cap-verdian criole to English.
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Hotel review sentiment analysis using GRU (Gated Recurrent Unit) model
Introductory-Gru
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).
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