Pinned Repositories
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)
frank19-lab's Repositories
frank19-lab/ASTGCN-r-pytorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
frank19-lab/Awesome-Mobility-Machine-Learning-Contents
Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)
frank19-lab/CCF_BDCI_2020_DIDI_rank1_solution
2020 CCF BDCI 线上第一 解决方案代码
frank19-lab/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
frank19-lab/Curb-GAN
The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"
frank19-lab/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
frank19-lab/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。
frank19-lab/Gated-Spatio-Temporal-Energy-Graph
[CVPR'19] [PyTorch] Gated Spatio Temporal Energy Graph
frank19-lab/GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
frank19-lab/GNNPapers
Must-read papers on graph neural networks (GNN)
frank19-lab/Graph-WaveNet
graph wavenet
frank19-lab/Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
frank19-lab/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
frank19-lab/MTGNN
frank19-lab/openstreetmap
Interface to OpenStreetMap (load maps, extract road connectivity, plot road network & find shortest path)
frank19-lab/python_data_analysis_and_mining_action
《python数据分析与挖掘实战》的代码笔记
frank19-lab/pytorch-graphsage
Representation learning on large graphs using stochastic graph convolutions.
frank19-lab/pytorch-openpose
pytorch implementation of openpose including Hand and Body Pose Estimation.
frank19-lab/STGAT
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction
frank19-lab/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
frank19-lab/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)
frank19-lab/TimeSeriesPrediction
天池智慧交通预测挑战赛解决方案
frank19-lab/TrafficIndex
TTI ,Smart Transportation Industry Standard
frank19-lab/transdim
Machine learning for transportation data imputation and prediction.
frank19-lab/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.