ResidualAttentionNetwork-pytorch
by tengshaofeng
a pytorch code about Residual Attention Network. This code is based on two projects from
AI summary
Image classifier
Implementing a deep learning framework for image classification using Residual Attention Network architecture
- stars
- 682
- forks
- 167
- watching
- 10
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Image classifier
PyTorch implementation of wide residual networks for image classification tasks on CIFAR-10 and CIFAR-100 datasets
Deep learning models
Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets.
Neural net architecture
An implementation of a deep neural network architecture for image classification tasks
Image classifier
A PyTorch project for comparing image classification models and facilitating quick experiment setup
Neural net architecture
An implementation of a PyTorch-based neural network architecture for image classification tasks.
Deep network architecture
An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets.
Deep Learning Model
A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks.
Deep learning toolkit
A Python framework for building deep learning models with optimized encoding layers and batch normalization.
Attention network
A Gluon implementation of Residual Attention Network for image classification tasks
Computer Vision Toolkit
A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision.
Action Recognition Model
Replication of a PyTorch model for action recognition and detection from skeleton data
Neural network architecture
An implementation of a 1-bit weight neural network architecture using PyTorch
Image classifier
Provides a basic framework for training deep learning models on image classification tasks using PyTorch
Attention Network
An implementation of a deep neural network architecture using attention mechanisms and residual connections for image classification tasks.
Language model
An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling
Featured in 1 awesome list
Each link jumps to the spot where the list mentions ResidualAttentionNetwork-pytorch.
