star0071's Stars
zhengyang-wang/sopool-gnns
Second-Order Pooling for Graph Neural Networks
divelab/sopool
Second-Order Pooling for Graph Neural Networks
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
aRI0U/RandLA-Net-pytorch
PyTorch implementation of RandLA-Net
qhd1996/seed-everything
Guarantee the reproductivity of your deep learning algorithm implemented by Pytorch
HobbitLong/PyContrast
PyTorch implementation of Contrastive Learning methods
erikwijmans/Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
Yochengliu/DensePoint
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
r1c7/SlowFastNetworks
PyTorch implementation of "SlowFast Networks for Video Recognition".
irhum/R2Plus1D-PyTorch
PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"
arbitularov/SiamRPN-PyTorch
Implementation SiamRPN on PyTorch with GOT-10k dataset
got-10k/siamfc
A minimal example (SiamFC in PyTorch) showing how to train and evaluate trackers using GOT-10k toolkit.
ShaohonChen/GobangAi
star0071/toolkit
Official Python toolkit for generic object tracking benchmark GOT-10k and beyond
wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List
[Survey@Pattern Recognition] Paper list on Pedestrian Attribute Recognition (PAR) and related tasks (Pattern Recognition 2021)
Yochengliu/Relation-Shape-CNN
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
lijx10/SO-Net
SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018
lijx10/NN-Trees
Python implementation of Binary Search Tree, kd-tree for tree building, kNN search, fixed-radius search.
Yochengliu/awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
star0071/ResidualAttentionNetwork-pytorch
a pytorch code about Residual Attention Network. This code is based on two projects from
fangpin/siamese-pytorch
Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
tensorfreitas/Siamese-Networks-for-One-Shot-Learning
Implementation of Siamese Neural Networks for One-shot Image Recognition
star0071/Siamese-Networks-for-One-Shot-Learning
Implementation of Siamese Neural Networks for One-shot Image Recognition
QingyongHu/RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
XinZhangRadar/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
bearpaw/pytorch-classification
Classification with PyTorch.