juanyu10's Stars
mingqian000/TrGNN
Traffic Flow Prediction with Vehicle Trajectories
WoodSugar/GSTNet
zhouyirong09/ST-HAttn
A spatiotemporal hierarchical attention mechanism for Multi-step station-level crowd flow prediction
RuiYNU/RATL
code for RATL
dipanjanS/hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
dipanjanS/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
ossu/data-science
📊 Path to a free self-taught education in Data Science!
fengdu78/Data-Science-Notes
数据科学的笔记以及资料搜集
scikit-mobility/DeepLearning4HumanMobility
AntonioLonga/PytorchGeometricTutorial
Pytorch Geometric Tutorials
lonicera-yx/MGT
benchoi93/TrajGAIL
benchoi93/DeepMapMatching
SamDuffield/bmm
Map-matching using particle smoothing methods.
anitagraser/movement-analysis-tools
Tools for the analysis of movement data
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
ni1o1/pygeo-tutorial
Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )
ni1o1/transbigdata
A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.
lixus7/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
matsim-org/matsim-libs
Multi-Agent Transport Simulation
uctb/UCTB
An Open Source Spatio-Temporal Prediction Package
EmoryMLIP/DeepGenerativeModelingIntro
PyTorch Code used in 'Introduction to Deep Generative Modeling'
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
VeritasYin/STGCN_IJCAI-18
[IJCAI'18] Spatio-Temporal Graph Convolutional Networks
chnsh/DCRNN_PyTorch
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
goaheand/AdapGL-pytorch
zhiyongc/Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network