Alternatives and similar repositories for MSTFormer

Users that are interested in MSTFormer are comparing it to the libraries listed below

• An-Yuhang-ace / VesselTrajectoryPrediction
  lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.
  ☆107Updated 4 years ago
• Echo-Ji / ST-SSL
  ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
  ☆185Updated 8 months ago
• whubaichuan / Vessel_Trajectory_Prediction
  ☆32Updated 4 years ago
• LeronQ / STGCN-Pytorch
  Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…
  ☆148Updated 4 years ago
• WenMellors / TS-TrajGen
  Continuous Trajectory Generation Based on Two-Stage GAN, AAAI 2023.
  ☆44Updated 2 years ago
• An-Yuhang-ace / MultiShipPrediction
  PyTorch implementation for Social-LSTM, which is built to predict multi-vessel trajectories.
  ☆62Updated 3 years ago
• Echo-Ji / ST-SSL_Dataset
  The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".
  ☆33Updated last year
• CHDers / GCN-Time-Series-Prediction-Based-on-Taxi-Trajectory-Data-in-Shenzhen-City
  使用深圳市的出租车轨迹数据实现GCN时间序列预测
  ☆9Updated last year
• BUAABIGSCity / PDFormer
  [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
  ☆250Updated last year
• zouguojian / Traffic-speed-prediction
  Using to predict the highway traffic speed
  ☆34Updated 5 months ago
• Frank-Wang-oss / FCSTGNN
  ☆116Updated last year
• wengwenchao123 / RGDAN
  [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
  ☆40Updated 2 months ago
• ChenxiLiu-HNU / ST-LLM
  Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"
  ☆116Updated last month
• louisechen520 / Bi-STAT
  ☆26Updated last year
• zouguojian / Traffic-flow-prediction
  This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
  ☆27Updated 3 months ago
• RobJur / rnn-vessels-trajectory-prediction
  RNN Application of Coordinate Systems for Vesssel Trajectory prediction
  ☆14Updated 10 months ago
• xumingxingsjtu / STTN
  The official code for "Spatial temporal transformer networks for traffic flow forecasting"
  ☆102Updated 3 years ago
• YanJieWen / RPConvformer
  Improved Transformer based on Tensoflow implementation for traffic flow predictive modeling
  ☆20Updated 3 years ago
• jwwthu / DL4Traffic
  This is the repository for the collection of Deep Learning for Traffic Prediction Problems.
  ☆232Updated last year
• wubin5 / STTN
  paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>
  ☆167Updated 4 years ago
• mingqian000 / TrGNN
  Traffic Flow Prediction with Vehicle Trajectories
  ☆72Updated 4 years ago
• R0oup1iao / Traffic-Transformer
  This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at
  ☆26Updated 2 years ago
• Raindrops69Whee / AIS-Vessel-Trajectory-Prediction
  ☆12Updated 2 years ago
• ShuhaoLii / LaneLevel-Traffic-Benchmark
  ☆23Updated last year
• LeronQ / GCN_predict-Pytorch
  Traffic flow predict. Implementation of graph convolutional network with PyTorch
  ☆111Updated 4 years ago
• NickHan-cs / Spatio-Temporal-Data-Mining-Survey
  Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
  ☆134Updated last year
• guoshnBJTU / ASTGNN
  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…
  ☆232Updated 4 years ago
• SYLan2019 / DSTAGNN
  DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.
  ☆178Updated 3 years ago
• XDZhelheim / STAEformer
  [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
  ☆189Updated last year
• 815382636 / GCN-tffc
  比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。
  ☆137Updated 4 years ago