ResidualAttentionNetwork

koichiro11/residual-attention-network94

Attention Network

An image classification neural network implementation using attention mechanisms and residual learning

fwang91/residual-attention-network554

Attention Network

An implementation of a deep neural network architecture using attention mechanisms and residual connections for image classification tasks.

bruinxiong/modified-crunet-and-residual-attention-network.mxnet67

Neural net model

An MXNet implementation of a modified deep neural network architecture for image classification

tengshaofeng/residualattentionnetwork-pytorch682

Image classifier

Implementing a deep learning framework for image classification using Residual Attention Network architecture

tqtg/hierarchical-attention-networks87

Attention network

An implementation of a neural network architecture for document classification using hierarchical attention mechanisms

hszhao/psanet218

Attention network

A deep learning framework for semantic segmentation with spatial attention mechanisms

jhkim89/pyramidnet129

Neural network architecture

A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models.

cszn/srmd427

Image restoration network

Develops a single convolutional network to handle various image degradations with improved scalability and efficiency

xternalz/wideresnet-pytorch334

Deep network architecture

An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets.

fyu/drn1.1K

Image classification network

An open-source implementation of dilated residual networks for image classification and segmentation tasks.

songhan/squeezenet-residual155

Residual Network

An optimized neural network architecture for image classification tasks by combining SqueezeNet with residual connections.

benedekrozemberczki/appnp367

Graph Neural Network Model

A PyTorch implementation of a graph neural network model that learns personalized node representations

glouw/tinn2.1K

Neural network library

A lightweight neural network library for training and prediction tasks

warrengreen/srcnn76

Image enhancer

Software for enhancing satellite images through deep learning techniques

szagoruyko/wide-residual-networks1.3K

ResNet experiment

An experimental study on residual networks to improve depth and width trade-offs in neural networks