BruceWhiteSJTU's Stars
microsoft/terminal
The new Windows Terminal and the original Windows console host, all in the same place!
tensorflow/models
Models and examples built with TensorFlow
amix/vimrc
The ultimate Vim configuration (vimrc)
be5invis/Sarasa-Gothic
Sarasa Gothic / 更纱黑体 / 更紗黑體 / 更紗ゴシック / 사라사 고딕
poloclub/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
williamleif/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
jfzhang95/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
phanein/deepwalk
DeepWalk - Deep Learning for Graphs
danielegrattarola/spektral
Graph Neural Networks with Keras and Tensorflow 2.
Hzzone/pytorch-openpose
pytorch implementation of openpose including Hand and Body Pose Estimation.
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
mdeff/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
tensorlayer/HyperPose
Library for Fast and Flexible Human Pose Estimation
anderskm/gputil
A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python
tangzhenyu/SemanticSegmentation_DL
Resources of semantic segmantation based on Deep Learning model
kazuto1011/deeplab-pytorch
PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets
snap-stanford/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
kimiyoung/planetoid
Semi-supervised learning with graph embeddings
CMU-Perceptual-Computing-Lab/openpose_train
Training repository for OpenPose
dglai/WWW20-Hands-on-Tutorial
Materials for DGL hands-on tutorial in WWW 2020
junhyukoh/caffe-lstm
LSTM implementation on Caffe
xbresson/spectral_graph_convnets
PyTorch implementation of spectral graph ConvNets, NeurIPS’16
dlunion/OpenPose
OpenPose的简单实现版本,简洁不简单,so easy. 就一个cpp
TheLegendAli/DeepLab-Context
lemondan/HumanParsing-Dataset
ML-on-structures/graph-lstm
LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
CMU-Perceptual-Computing-Lab/caffe
Caffe: a fast open framework for deep learning.
sailab-code/gnn
Graph Neural Network
JSong-Jia/NNI-Student-Program-2020
Task Release