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A PyTorch implementation of DenseNet.
The main features of bamos/densenet.pytorch are: Computer Vision Models, Image Classification Architectures, Model Implementations, Convolutional Neural Networks (CNNs).
Projects with overlapping indexed features include: xternalz/wideresnet-pytorch — Wide Residual Networks (WideResNets) in PyTorch. oeway/pytorch-deform-conv — PyTorch implementation of Deformable Convolution. aaron-xichen/pytorch-playground — Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet,… 1zb/deformable-convolution-pytorch — PyTorch implementation of Deformable Convolution. jwyang/faster-rcnn.pytorch — This project is a PyTorch object detection framework that implements the Faster R-CNN architecture. It serves as a… dyhan0920/pyramidnet-pytorch — A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915).
Wide Residual Networks (WideResNets) in PyTorch
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
PyTorch implementation of Deformable Convolution