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LibCity: An Open Library for Urban Spatial-temporal Data Mining
eta
libcity
toolkit
traffic
od-matrix
map-matching
deep-learning
spatio-temporal
on-demand-service
traffic-prediction
traffic-forecasting
trajectory-prediction
pytorch-implementation
time-series-prediction
representation-learning
traffic-flow-prediction
traffic-speed-prediction
estimated-time-of-arrival
spatio-temporal-prediction
traffic-accident-prediction
Created
2020-12-12
325 commits to master branch, last one 3 days ago
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
Created
2018-02-11
4 commits to master branch, last one 6 years ago
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
Created
2020-09-06
109 commits to master branch, last one about a year ago
Summary of open source code for deep learning models in the field of traffic prediction
libcity
traffic
on-demand
open-code
paper-list
open-source
deep-learning
spatio-temporal
on-demand-service
traffic-prediction
graph-neural-networks
trajectory-prediction
time-series-prediction
travel-time-prediction
traffic-flow-prediction
traffic-speed-prediction
estimated-time-of-arrival
spatio-temporal-prediction
traffic-accident-prediction
graph-convolutional-networks
Created
2020-12-26
49 commits to master branch, last one 2 years ago
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
Created
2022-11-19
11 commits to master branch, last one about a year ago
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
aaai
adaptive
fairness
robustness
data-mining
data-augmentation
graph-augmentation
location-embedding
traffic-forecasting
contrastive-learning
spatio-temporal-data
graph-neural-networks
representation-learning
robust-machine-learning
traffic-flow-prediction
self-supervised-learning
spatio-temporal-prediction
Created
2022-12-02
18 commits to main branch, last one 9 days ago
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
Created
2022-11-19
62 commits to main branch, last one 15 days ago
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
Created
2024-05-23
10 commits to main branch, last one 3 months ago
A PyTorch implementation of T-GCN
Created
2021-03-16
42 commits to main branch, last one about a year ago
Attention Feature Fusion base on spatial-temporal Graph Convolutional Network(AFFGCN)
Created
2023-03-29
82 commits to main branch, last one about a month ago