Densenet Tensorflow
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Densenet | 4,652 | 3 months ago | 30 | bsd-3-clause | Lua | |||||
| Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). | ||||||||||
| 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) | ||||||||||
| Flops Counter.pytorch | 2,606 |  | 5 | 19 | 3 months ago | 20 | October 27, 2023 | 30 | mit | Python |
| Flops counter for convolutional networks in pytorch framework | ||||||||||
| Semantic Segmentation Suite | 2,311 | 3 years ago | 83 | Python | ||||||
| Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily! | ||||||||||
| Efficient_densenet_pytorch | 1,462 | a year ago | 12 | mit | Python | |||||
| A memory-efficient implementation of DenseNets | ||||||||||
| Tensornets | 968 |  | 2 | 2 | 3 years ago | 12 | March 31, 2020 | 15 | mit | Python |
| High level network definitions with pre-trained weights in TensorFlow | ||||||||||
| Medicalzoopytorch | 896 | 2 years ago | 13 | mit | Python | |||||
| A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation | ||||||||||
| Pytorch2keras | 848 | 1 | a year ago | 23 | May 14, 2020 | 58 | mit | Python | ||
| PyTorch to Keras model convertor | ||||||||||
| Cifar 10 Cnn | 726 | 4 years ago | 4 | mit | Python | |||||
| Play deep learning with CIFAR datasets | ||||||||||
| Keras Idiomatic Programmer | 705 | 3 years ago | 1 | apache-2.0 | Jupyter Notebook | |||||
| Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework | ||||||||||
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