GitHub

LSTM and QRNN Language Model Toolkit

Regularizing and Optimizing LSTM Language Models An Analysis of Neural Language Modeling at Multiple Scales This code was originally forked from the PyTorch word level language modeling example. The ...
Scientific Research Publishing

An Optimized Port Operation Efficiency Prediction Model Based on ESN and LSTM ()

With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness of ...
GitHub

Emotion Estimation from Video Footage with LSTM

This repository contains the code accompanying the research paper "Emotion estimation from video footage with LSTM" by Samer Attrah. The project focuses on developing and evaluating an LSTM-based ...
IEEE

Integrating Deep Learning and Python for Effective Sign Language Recognition

Abstract: The advancement in technology has improved the accessibility of communications for a person with hearing impairment significantly. A full implementation approach for sign language ...
IEEE

Criminal behavior detection using the LSTM model and tweet dataset

Abstract: The science of digital forensics is crucial in detecting and pursuing criminals since criminal behaviour depends more and more on digital technology. A model for behaviour detection is ...
Hacker

Binary Classification: Understanding Activation and Loss Functions with a PyTorch Example

The basic principles required to solve classification tasks with neural networks are used as building blocks in more complicated deep learning problems such as object detection and instance ...
Frontiers

A deep learning model for forecasting global monthly mean sea surface temperature anomalies

Sea surface temperature (SST) variability plays a key role in the global weather and climate system, with phenomena such as El Niño-Southern Oscillation (ENSO) regarded as a major source of ...