gated-recurrent-unit

ROBINADC/BiGRU-CRF-with-Attention-for-NER

Named Entity Recognition (NER) with different combinations of BiGRU, Self-Attention and CRF

MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

jingwenshi-dev/Weather-Forecasting-by-GRU-Transformer

Predict the next 24 hours' temperatures by GRU and Transformer

georgezoto/RNN-LSTM-NLP-Sequence-Models

Sequence Models repository for all projects and programming assignments of Course 5 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, covering topics such as Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM), Natural Language Processing, Word Embeddings and Attention Model.

TATU-hacker/CNN-LSTM-GRU

Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models

lbasek/named-entity-recognition

Named Entity Recognition - Python - Keras

dizcza/stm32f429-chars

STM32F429 Online handwritten character classification with Gated Recurrent Unit Neural Network

denismurphy/gru-coreml

CoreML compatible GRU neural network for dynamic prediction

SSQ/Coursera-Ng-Sequence-Models

chuksoo/Deep-Learning-Specialization

This repository contains notes, slides, labs, assignments and projects for the Deep Learning Specialization by DeepLearning.AI and Coursera.

jo0707/sentiment-analysis

Sentiment Analysis attempt and comparison in chess.com play store review using multiple algorithm and feature extraction

RezaSaadatyar/Deep-Learning-in-python

Deep Learning in python

furk4neg3/Sales-Forecasting

Created AI models to forecast Wallmart's sales. Used different models, like dense, LSTM, GRU and naive model. Different window and horizon sizes are used too. Compared models visually at the end.

gtancev/MD-GRU

Code for Multi-dimensional Gated Recurrent Units for the Segmentation of Biomedical Data

jungsoh/gru-trigger-word-detection

Recurrent neural network with GRUs for trigger word detection from an audio clip

lekod/knowledge-graph-git

I constructed a knowledge graph of stakeholders of Bavarian state ministries and used network analysis to calculate statistics. Furthermore time-series feature forecasting and topological link prediction was employed to analyze the evolution of the network.

Mohamed-derbeli/Natural-Language-Processing-in-TensorFlow

This repository includes course assignments of Natural Language Processing in TensorFlow on Coursera by DeepLearning.AI

mrodriguezsanz/DeepLearningAI-DeepLearningSpecialization

Participants in this Specialization have the opportunity to construct and train various neural network architectures, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Transformers. They learn to enhance these networks with techniques such as Dropout, BatchNorm, Xavier/He initialization, among others.

shreyas-muralidhara/Bitcoin-price-prediction

Implementation of LSTM time series tuned with GRU.

yarkin06/Neural-Network-Projects

Codes for EEE 443 Neural Networks Projects

Alvov1/Model-Inversion-Attack-with-GAN

Implementation of the model inversion attack on the Gated-Recurrent-Unit neural network

EdwardQuah/RNN-StockPrediction

Repository for Deep Learning Fundamentals Assignment 3: RNN for Stock Price Prediction

luisosorio3214/Microsoft-Stock-Analysis

Microsoft Stock Deep Learning Model Prediction and Story Timeline Analysis.

sayandeepmaity/vseven_lumi

An FPGA based solution with suitable algorithm for classification and localization of sound. The final result will be displayed on Graphic LCD.

adityaa30/machine-translator

Algorithm to convert between various languages with the help of NLP techniques

IAmFarrokhnejad/Stock-Forecasting-RNN

LSTM vs GRU

KrupalWarale/Home-Energy-Consumption-Analysis-ML

This web application for predicting household energy consumption using multiple machine learning models with best accuracy and interactive visualizations and real-time comparison capabilities.

mehdisahraeei/Intro-Gru

Introductory-Gru

nonlinear-vibes/temporal-neural-network

Modular deep learning model for multivariate time series classification

ramelica/Amazon_Analysis_Project

Amazon Sales Analytics full pipeline for forecasting and insights 🐙. Python, MySQL, Power BI, and Azure Blob handle generation, storage, dashboards, and forecasts.

saadtariq-ds/Next-Word-Prediction

This project aims to develop a deep learning model for predicting the next word in a given sequence of words. The model is built using LSTM and GRU networks, which are well-suited for sequence prediction tasks

SayamAlt/MIT-Movies-NER-using-Bidirectional-GRU-Attention

Successfully developed a Named Entity Recognition (NER) model using a Bidirectional GRU with Attention on the MIT Movies dataset to identify and classify movie-related entities like titles, actors, and genres.

willy377/Prediction-and-Analysis-of-Dogecoin-Price-Movements-using-Gated-Recurrent-Unit--GRU-

This repository contains a prediction model and simple analysis tool for dogecoin price movements using Gated Recurrent Units (GRU). The dataset used is daily Dogecoin from 25 December 2017 to 31 December 2024 (7 years 1 week) which is recorded every day.