Pinned Repositories
bilinear-cnn
PyTorch implementation of bilinear CNN for fine-grained image recognition
c3d-pytorch
Pytorch porting of C3D network, with Sports1M weights
cmake-examples
Useful CMake Examples
DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
Lipreading-DenseNet3D
DenseNet3D Model In "LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild", https://arxiv.org/abs/1810.06990
openvino_training_extensions
Trainable models and NN optimization tools
pseudo-3d-pytorch
pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported
pytorch-learning-notes
pytorch learning tutorials
pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
PyTorch-Tutorial
Build your neural network easy and fast
kar98kbang's Repositories
kar98kbang/bilinear-cnn
PyTorch implementation of bilinear CNN for fine-grained image recognition
kar98kbang/c3d-pytorch
Pytorch porting of C3D network, with Sports1M weights
kar98kbang/cmake-examples
Useful CMake Examples
kar98kbang/DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
kar98kbang/Lipreading-DenseNet3D
DenseNet3D Model In "LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild", https://arxiv.org/abs/1810.06990
kar98kbang/openvino_training_extensions
Trainable models and NN optimization tools
kar98kbang/pseudo-3d-pytorch
pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported
kar98kbang/pytorch-learning-notes
pytorch learning tutorials
kar98kbang/pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
kar98kbang/PyTorch-Tutorial
Build your neural network easy and fast
kar98kbang/st-gcn
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
kar98kbang/Two-Stream-CNN
Two Stream CNN implemented in Keras using in skeleton-based action recognition with dataset NTU RGB+D