lstm-networks

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.

deep-reinforcement-learning dqn mdp offloading deep-q-network markov-decision-processes resource-management performance-evaluation mec ddqn edge-computing lstm-networks network-optimization d3qn

Updated Apr 5, 2025
Python

26hzhang / neural_sequence_labeling

Star 233

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.

tensorflow python3 named-entity-recognition chunking punctuation sequence-labeling pos-tagger sentence-boundary-detection lstm-networks

Updated Nov 27, 2018
Python

Relation-Classification-using-Bidirectional-LSTM-Tree

Sshanu / Relation-Classification-using-Bidirectional-LSTM-Tree

Star 188

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

tree deep-learning neural-network tensorflow entities lstm tree-structure dependency-tree semeval lca relation-extraction bidirectional-lstm word-embedding lstm-networks relation-classification lstm-tree

Updated Apr 15, 2019
Jupyter Notebook

lccasagrande / Deep-Knowledge-Tracing

Star 100

An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0

tensorflow keras udacity-nanodegree lstm-networks deepknowledgetracing knowledge-tracing

Updated Dec 4, 2020
Python

navjindervirdee / neural-networks

Star 39

Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.

python deep-learning numpy jupyter-notebook cnn neural-networks convolutional-layers rnn derivatives scratch matplotlib convolutional-neural-networks handwritten-digit-recognition lstm-neural-networks iris-dataset lstm-cells lstm-networks backward-propagation forward-propagation backward-propagation-through-time

Updated Sep 19, 2018
Jupyter Notebook

hugrubsan / Offline-Handwriting-Recognition-with-TensorFlow

Star 31

machine-learning deep-learning tensorflow cross-validation python3 convolutional-neural-networks handwritten-text-recognition ctc-loss lstm-networks

Updated Apr 16, 2018
Python

drewanye / har-joint-model

Star 29

AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors

deep-neural-networks cnn human-activity-recognition wearable-devices multi-task-learning lstm-networks

Updated May 15, 2018
Python

aminullah6264 / Activity_Rec_ML-LSTM

Star 25

Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM

activity-recognition lstm human-activity-recognition action-recognition human-action-recognition lstm-networks lstm-cnn

Updated Jul 27, 2025
C++

Merterm / Etymon

Star 22

Find the origin of words in every language using a Deep Neural Network trained to create an etymological map.

language deep-learning natural-language word-embeddings keras etymology lstm lstm-model words scraped-data lstm-neural-networks keras-tensorflow etymological-relationships lstm-layer etymologies lstm-networks lstm-neural-network etymology-data keras-implementations

Updated May 18, 2018
JavaScript

adityajn105 / image-caption-bot

Star 16

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.

image-captioning vgg19 lstm-networks flickr8k-dataset