How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
PyTorch implementation of Deformable Convolution
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Unsupervised Video Interpolation using Cycle Consistency
The main features of nvidia/unsupervised-video-interpolation are: Computer Vision Models, Convolutional Neural Networks (CNNs).
Projects with overlapping indexed features include: bamos/densenet.pytorch — A PyTorch implementation of DenseNet. jwyang/faster-rcnn.pytorch — This project is a PyTorch object detection framework that implements the Faster R-CNN architecture. It serves as a… 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. bgshih/crnn — Convolutional Recurrent Neural Network. oeway/pytorch-deform-conv — PyTorch implementation of Deformable Convolution.
