hoanglechau/channelwise-attention-residual-networks-dl

This project implements a Squeeze-and-Excitation Residual Network (SE-ResNet) to solve a fine-grained classification problem on 32 × 32 images. It addresses signal-to-noise challenges in low-resolution data.

11
/ 100
Experimental
No License No Package No Dependents
Maintenance 10 / 25
Adoption 0 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

—

Forks

—

Language

Jupyter Notebook

License

—

Category

cifar-10-image-classification

Last pushed

Jan 28, 2026

Commits (30d)

0

GitHub
CIFAR 10 Image Classification · 90 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/hoanglechau/channelwise-attention-residual-networks-dl"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

liuzhuang13/DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

51

bamos/densenet.pytorch

A PyTorch implementation of DenseNet.

44

BIGBALLON/cifar-10-cnn

Play deep learning with CIFAR datasets

44

titu1994/DenseNet

DenseNet implementation in Keras

44

kratzert/finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

44

Explore ML Frameworks

All categories Trending ML Framework directory Insights