Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
PyTorch implementation of Deformable Convolution
Training Very Deep Neural Networks Without Skip-Connections
The main features of szagoruyko/diracnets are: Convolutional Neural Networks (CNNs).
Open-source alternatives to szagoruyko/diracnets 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.
