gated-neural-network

A comprehensive collection of 35+ recurrent neural network layers for Flux.jl

A collection of 30+ PyTorch-compatible implementations of recurrent layers

Gated Pretrained Transformer model for robust denoised sequence-to-sequence modelling

GSTA: Gated Spatial-Temporal Attention Approach for Travel Time Prediction

In this project I develop a Physics informed Neural Network for pricing options by finding an approximate solution of Black-Scholes Partial Differential Equations. A modified loss function is solved as a min-max optimization problem to achieve nearly 40% faster convergence to solution.

Gated Neural Network for Option Pricing implementation version Keras

This repository contains three variants of a Sentiment Analysis model that uses a GRU (Gated Recurrent Unit) to predict the sentiment of a given text as either positive or negative. The models were built using PyTorch, and the training and testing data came from DLStudio

Multimodal deep learning and remote sensing framework for landslide susceptibility prediction

Classifier for app reviews on a scale of 1 to 5 using Gated Recurrent Unit (GRU).

Code for the exam in Temporal Dynamics from TSDS 2025

Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation [TKDE 2021]

A machine translation project featuring RNN-based Seq2Seq, Transformer model, and pretrained models for translating English to Spanish and Urdu.

LSTM vs GRU