97 skills found · Page 1 of 4
weiaicunzai / Pytorch Cifar100Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
hujie-frank / SENetSqueeze-and-Excitation Networks
moskomule / Senet.pytorchPyTorch implementation of SENet
argusswift / YOLOv4 PytorchThis is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
qubvel / Classification ModelsClassification models trained on ImageNet. Keras.
GoogleCloudPlatform / Keras Idiomatic ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
taki0112 / SENet TensorflowSimple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
BIGBALLON / CIFAR ZOOPyTorch implementation of CNNs for CIFAR benchmark
calmiLovesAI / Basic CNNs TensorFlow2A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
yxlu-0102 / MP SENetExplicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
miraclewkf / SENet PyTorchNo description available
shicai / SENet CaffeA Caffe Re-Implementation of SENet
bruinxiong / SENet.mxnet:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire:
kobiso / CBAM TensorflowCBAM implementation on TensowFlow
yoheikikuta / Senet KerasNaive implementation of SENet in Keras
Finn-Fengming / Tensorflow Cifar100High-acc(>0.7) model(ResNet, ResNeXt, DenseNet, SENet, SE-ResNeXt) on TensorFlow.
pooya-mohammadi / Deep UtilsAn open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!
FreeformRobotics / Divide And Co Training[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.
kobiso / CBAM Tensorflow SlimCBAM implementation on TensorFlow Slim
yy9568 / SE DenseNetThis 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.
