Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Pretrained Models.pytorch | 8,094 | 52 | 42 | 3 years ago | 16 | October 29, 2018 | 91 | bsd-3-clause | Python | |
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc. | ||||||||||
Segmentation_models | 4,514 | 12 | 16 | 3 months ago | 8 | January 10, 2020 | 263 | mit | Python | |
Segmentation models with pretrained backbones. Keras and TensorFlow Keras. | ||||||||||
Pytorch Cifar100 | 3,687 | 5 months ago | 53 | Python | ||||||
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) | ||||||||||
Deepdetect | 2,492 | 3 months ago | 92 | other | C++ | |||||
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE | ||||||||||
Senet | 2,322 | 5 years ago | 13 | apache-2.0 | Cuda | |||||
Squeeze-and-Excitation Networks | ||||||||||
Resnext | 1,652 | 4 years ago | 9 | other | Lua | |||||
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks | ||||||||||
Pytorch Classification | 1,244 | 3 years ago | 30 | mit | Python | |||||
Classification with PyTorch. | ||||||||||
Caffe Model | 1,238 | 6 years ago | 28 | mit | Python | |||||
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks | ||||||||||
Pytorch_classification | 1,055 | a year ago | 39 | mit | Jupyter Notebook | |||||
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 | ||||||||||
Classification_models | 706 | 8 | 4 | 4 years ago | 6 | October 04, 2019 | 11 | mit | Python | |
Classification models trained on ImageNet. Keras. |