mymayday's Stars
myungsub/CAIN
Source code for AAAI 2020 paper "Channel Attention Is All You Need for Video Frame Interpolation"
Andy-zhujunwen/danet-pytorch
[pytorch] DANet: Dual Attention Network for Scene Segmentation
shenweichen/GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
SHI-Labs/Cross-Scale-Non-Local-Attention
PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).
BangguWu/ECANet
Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
magicleap/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Jongchan/attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
yulunzhang/RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
amusi/ECCV2024-Papers-with-Code
ECCV 2024 论文和开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2024论文和开源项目
miraclewkf/SENet-PyTorch
zjuchenlong/sca-cnn.cvpr17
Image Captions Generation with Spatial and Channel-wise Attention
shanglianlm0525/PyTorch-Networks
Pytorch implementation of cnn network
aaron-xichen/pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
utkuozbulak/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
greyireland/algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
miraiaroha/ACAN
Attention-based Context Aggregation Network for Monocular Depth Estimation
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
getlantern/download
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw
heykeetae/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
williamleif/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
PetarV-/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
huawei-noah/AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
lightaime/deep_gcns
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
ronghuaiyang/arcface-pytorch
deepinsight/insightface
State-of-the-art 2D and 3D Face Analysis Project
lidashuangok/gcn_mnist
thomastiotto/DiffPool
TensorFlow 2.0 implementation of MNIST classification using Graph Convolutional Network
Jiakui/awesome-gcn
resources for graph convolutional networks (图卷积神经网络相关资源)
yl-1993/learn-to-cluster
Learning to Cluster Faces (CVPR 2019, CVPR 2020)