11 results found Sort:

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
[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
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
Created 2022-11-19
62 commits to main branch, last one 2 months ago
4
65
apache-2.0
2
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
Created 2024-05-23
10 commits to main branch, last one 5 months ago
A PyTorch implementation of T-GCN
Created 2021-03-16
42 commits to main branch, last one about a year ago
1
35
unknown
2
Attention Feature Fusion base on spatial-temporal Graph Convolutional Network(AFFGCN)
Created 2023-03-29
82 commits to main branch, last one 3 months ago
Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using memory cells. This project includes understanding and implement...
Created 2022-07-06
39 commits to master branch, last one 25 days ago