Squeeze-and-Excitation Networks

PyTorch implementation of SENet

Implementation of popular deep learning networks with TensorRT network definition APIs

Classification models trained on ImageNet. Keras.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

PyTorch implementation of CNNs for CIFAR benchmark

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

A Caffe Re-Implementation of SENet

CBAM implementation on TensorFlow Slim

CBAM implementation on TensowFlow

This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.

SENet implementation on TensorFlow Slim

Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

SE_ResNet && SE_ResNeXt with pretrained weights on ImageNet (SENet In TensorFlow)

Variant VNet family

Mxnet2Caffe_Tensor RT

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

resnetv2 in tensorflow

DenseShuffleNet for Semantic Segmentation using Caffe for Cityscapes and Mapillary Vistas Dataset

Squeeze-and-Excitation Networks, a new architecture building block proposed by WMW team at ILSVRC2017 challenges

pytorch implementation of several CNNs for image classification

here are some classic networks for image classification implement by pytorch

In this repository, I released senet-densenet training codes and output files. And it refer to another repository(https://github.com/zhouyuangan/SE_DenseNet), which repository I had made some notes in.

inception in tensorflow

Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch

ResNext in tensorflow