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Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
PyTorch implementation of Deformable Convolution
Non official pytorch implementation of i-Resnet, invertible residual networks.
The main features of jarrelscy/iresnet are: Convolutional Neural Networks (CNNs).
Projects with overlapping indexed features include: aaron-xichen/pytorch-playground — Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet,… automan000/convolution_lstm_pytorch. bamos/densenet.pytorch — A PyTorch implementation of DenseNet. bgshih/crnn — Convolutional Recurrent Neural Network. d-li14/octconv.pytorch. 1zb/deformable-convolution-pytorch — PyTorch implementation of Deformable Convolution.