There are 2 repositories under resnext topic.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Practice 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)
Classification with PyTorch.
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
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 tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Food detection and recommendation with deep learning
Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge
CBAM implementation on TensowFlow
PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
基于tf.keras的多标签多分类模型
medium blog supplementaries | Backprop | Resnet & ResNext | RNN |
PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).
COVID-Next -> Pytorch upgrade of the COVID-Net for COVID-19 detection in X-Ray images
This code includes classification and detection tasks in Computer Vision, and semantic segmentation task will be added later.
A tensorflow2 implementation of ResNeXt(ResNeXt50, ResNeXt101).
paddle cifar100 training
My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]
deep conv backone for image classification
Deep 3D Semantic Scene Extrapolation
Implement and Compare VGG, ResNet and ResNeXt on CIFAR-10