Introductory-Gru
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Updated
Jun 23, 2023 - Jupyter Notebook
Introductory-Gru
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.
Hotel review sentiment analysis using GRU (Gated Recurrent Unit) model
GRU-Gated Attention Model Implementation in order to train it to translate over Cap-verdian criole to English.
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.
Predicting Discharge in Catchment Outlet Using Deep Learning: Case Study of the Ansongo-Niamey Basin
Gated Recurrent Unit implementation from scratch
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 :
Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry
AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
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