wangjianlong's repositories
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
arima-lstm
a model for traffic flow forecast
ASTGCN
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
BaiduTraffic
This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).
BRITS
Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series
DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
fancyimpute
baseline Multivariate imputation and matrix completion algorithms implemented in Python
gae
Implementation of Graph Auto-Encoders in TensorFlow
GAIN
Generative Adversarial Imputation Networks (GAIN)
gcnn
A graph convolutional neural network for classification of building patterns using spatial vector data
Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
GRU-D
Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
HAHE
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
lihang-code
《统计学习方法》的代码实现
MIDAS
Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
misgan
MisGAN: Learning from Incomplete Data with GANs
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
netgan
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
prednet
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
PyTorch-Tutorial
Build your neural network easy and fast
STDN
Code for our Spatiotemporal Dynamic Network
STGCN
implementation of STGCN for traffic prediction in IJCAI2018
STGCN-IJCAI-18
Spatio-Temporal Graph Convolutional Networks
the-gan-zoo
A list of all named GANs!
transdim
Data imputation for urban transportation system