Pinned Repositories
ATD-RNN
CAN
Co-embedding Attributed Networks
Conditional_VAE
conditional variational autoencoder written in Keras
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Deep-Learning-with-PyTorch-Chinese
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
DeepLearningSlides
Slides for the teaching and learning about deep learning
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
LGCN
Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18
MTSN
yuyanwei's Repositories
yuyanwei/Conditional_VAE
conditional variational autoencoder written in Keras
yuyanwei/LGCN
Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18
yuyanwei/MTSN
yuyanwei/ATD-RNN
yuyanwei/CAN
Co-embedding Attributed Networks
yuyanwei/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
yuyanwei/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
yuyanwei/Deep-Learning-with-PyTorch-Chinese
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
yuyanwei/DeepLearningSlides
Slides for the teaching and learning about deep learning
yuyanwei/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
yuyanwei/DRLAN
yuyanwei/Dynamic-graph-dataset
Dynamic graph/network dataset for dynamic graph/network embedding/representation
yuyanwei/FAME
FAME source code
yuyanwei/Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
yuyanwei/Grids-versus-Graphs
Graph-based LSTM for taxi demand prediction
yuyanwei/keras_lstm_vae
Keras implementation of LSTM Variational Autoencoder
yuyanwei/LAKE
yuyanwei/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
yuyanwei/MHGCN
KDD 2022 Multiplex Heterogeneous Graph Convolutional Network
yuyanwei/Multi-Modal-Location-Aware-Taxi-Demand-Prediction
Taxi Demand prediction using text processing for different zones in brooklyn, New York.
yuyanwei/OpenHGNN
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
yuyanwei/PrivateCarTrajectoryData
yuyanwei/RobustAutoencoder
A combination of Autoencoder and Robust PCA
yuyanwei/SRINet
yuyanwei/sumo
SUMO is an open source, highly portable, microscopic and continuous road traffic simulation package designed to handle large road networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
yuyanwei/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
yuyanwei/VAE-for-Image-Generation
Variational AutoEncoder - Keras implementation on mnist and cifar10 datasets
yuyanwei/yanweiyu.github.com
Homepage
yuyanwei/Yellow-Taxi-Demand-Prediction
Using LSTM networks to predict demand per location in Manhattan.
yuyanwei/yuyanwei.github.io
Yanwei Yu Homepage, Ocean University of China, 于彦伟，**海洋大学，个人主页