There are 3 repositories under lstm-networks topic.
A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.
TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors
Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM
Find the origin of words in every language using a Deep Neural Network trained to create an etymological map.
Implementation of 'merge' architecture for generating image captions from paper "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?" using Keras. Dataset used is Flickr8k available on Kaggle.
藏头诗生成器 Chinese poem generator with LSTM network
Sleep stage classification using LSTM networks
A LSTM based Deep Net which predict bitcoin value trends(30 days)
This repository contains our project on Stock Market Price prediction Using Historical Data
Predicting Upward and downward trends in the stock prices using Stacked LSTM.
These are my solutions to the programming assignments of the class CS231n: Convolutional Neural Networks for Visual Recognition
Investigating the Working of Text Classifiers - COLING 2018
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Twitter data on US Airlines Sentiment Analysis with Deep Learning (LSTM and CNN)
Multi-task learning models for the rhetorical analysis of scientific publications
A simple wrapper to flexibly create a SequenceGenerator Machine learning using LSTM Networks in TfLearn.
Keep track of your happiness using Facebook Graph API and a LSTM model
Detecting anomalies in GE stock price data using an LSTM Autoencoder
A Machine Learning LSTM Music Generator with RTTTL
The notebook to my article in LinkedIn
Predicting SP500 stock prices with LSTMs
This chat bot is created using LSTM (many-to-many relation). The dataset consists of the conversation between peoples.
Build a Classification model to predict if the questions asked in Quora are duplicates of the existing questions.
Code and dataset information of our paper "Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks".
Successfully developed a text generation model to predict the next word for a given sequence using LSTMs.