frank19-lab Goto Github PK

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

awesome-mobility-machine-learning-contents

Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)

ccf_bdci_2020_didi_rank1_solution

2020 CCF BDCI 线上第一 解决方案代码

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

curb-gan

The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"

datasciencestudynotes

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

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。

gated-spatio-temporal-energy-graph

[CVPR'19] [PyTorch] Gated Spatio Temporal Energy Graph

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-wavenet

graph wavenet

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

graphsage

Representation learning on large graphs using stochastic graph convolutions.

mtgnn

openstreetmap

Interface to OpenStreetMap (load maps, extract road connectivity, plot road network & find shortest path)

python_data_analysis_and_mining_action

《python数据分析与挖掘实战》的代码笔记

pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

stgat

STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

time-series-works-conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)

timeseriesprediction

天池智慧交通预测挑战赛解决方案

trafficindex

TTI ,Smart Transportation Industry Standard

transdim

Machine learning for transportation data imputation and prediction.

urban-computing-papers

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.