wuyang556's Stars
bodokaiser/piwise
Pixel-wise segmentation on VOC2012 dataset using pytorch.
brianway/java-learning
旨在打造在线最佳的 Java 学习笔记,含博客讲解和源码实例,包括 Java SE 和 Java Web
yanx27/3DGNN_pytorch
3D Graph Neural Networks for RGBD Semantic Segmentation
ML-on-structures/graph-lstm
LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
williamleif/graphsage-simple
Simple reference implementation of GraphSAGE.
exacity/deeplearningbook-chinese
Deep Learning Book Chinese Translation
TingsongYu/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
bat67/pytorch-FCN-easiest-demo
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
L1aoXingyu/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
Kyubyong/numpy_exercises
Numpy exercises.
ddbourgin/numpy-ml
Machine learning, in numpy
rougier/numpy-100
100 numpy exercises (with solutions)
apachecn/pytorch-doc-zh
Pytorch 中文文档
apachecn/hands-on-ml-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
charlesCXK/Depth2HHA-python
Use python3 to convert depth image into hha image
yanx27/GACNet
Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
ZhuangCY/DGCN
Dual Graph Convolution Networks
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
Papers on Graph neural network(GNN)
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
nndl/nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Freemanzxp/GBDT_Simple_Tutorial
python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
wepe/MachineLearning
Basic Machine Learning and Deep Learning
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
talorwu/Graph-Neural-Network-Review
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
agalwood/Motrix
A full-featured download manager.
vuptran/graph-representation-learning
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2