gated-recurrent-unit | Topic | Ecosyste.ms: Repos

Topic: "gated-recurrent-unit"

BarnesLab/Patient2Vec

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Language: Python - Size: 541 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 100 - Forks: 29

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.

Language: Python - Size: 60.5 MB - Last synced at: 1 day ago - Pushed at: over 5 years ago - Stars: 54 - Forks: 17

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

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

Language: Python - Size: 13.5 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 48 - Forks: 17

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.

Language: Jupyter Notebook - Size: 82.7 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 4

TATU-hacker/CNN-LSTM-GRU

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

Language: Jupyter Notebook - Size: 5.99 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 8 - Forks: 1

lbasek/named-entity-recognition

Named Entity Recognition - Python - Keras

Language: Python - Size: 161 MB - Last synced at: 11 months ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 4

dizcza/stm32f429-chars

STM32F429 Online handwritten character classification with Gated Recurrent Unit Neural Network

Language: C - Size: 3.64 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

denismurphy/gru-coreml 📦

CoreML compatible GRU neural network for dynamic prediction

Language: Python - Size: 29.3 KB - Last synced at: 8 days ago - Pushed at: 9 months ago - Stars: 5 - Forks: 0

Guo622/MCM_2022

2022年美赛数模C题，比特币交易策略，深度强化学习（DQN）

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

SSQ/Coursera-Ng-Sequence-Models

Language: HTML - Size: 31.7 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 8

RezaSaadatyar/Deep-Learning-in-python

Deep Learning in python

Language: Jupyter Notebook - Size: 25.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 448 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

jo0707/sentiment-analysis

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

Language: Jupyter Notebook - Size: 707 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

chuksoo/Deep-Learning-Specialization

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

Language: Jupyter Notebook - Size: 224 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

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

Predict the next 24 hours' temperatures by GRU and Transformer

Language: Jupyter Notebook - Size: 54.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

gtancev/MD-GRU Fork of zubata88/mdgru

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

Language: Python - Size: 6.16 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

willy377/Prediction-and-Analysis-of-Dogecoin-Price-Movements-with-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.

Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

IAmFarrokhnejad/Stock-Forecasting-RNN

LSTM vs GRU

Language: Python - Size: 127 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

EdwardQuah/RNN-StockPrediction

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

Language: Jupyter Notebook - Size: 479 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 10.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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