Tf 1d 2d Resnetv1 2 Seresnet Resnext Seresnext

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).
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
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Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Segmentation_models4,51412163 months ago8January 10, 2020263mitPython
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Pytorch Cifar1003,687
5 months ago53Python
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)
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Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
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Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
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Classification with PyTorch.
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Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
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Classification models trained on ImageNet. Keras.
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