wengwenchao123

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

EEG-Datasets

A list of all public EEG-datasets

MTPB

Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting

TSFpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

TGCRN

ICDE'24 "Time-aware Graph Structure Learning for Spatiao-temporal Forecasting"

Graph-WaveNet-WaveBound

Exemplary Implementation of WaveBound (NeurIPS 2022) to Traffic domain, especially GWNet.

DenseFlow_Tool

EEGSimpleConv

Repository of EEG-Simpleconv original paper

EveryPixelMatters

Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"

DGGN

RGNN

The model for the paper "EEG-Based Emotion Recognition Using Regularized Graph Neural Networks"

SDGCN

SDGCN

eeg-gcnn

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Deep-Learning-for-BCI

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

RGDAN

[Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction

DDGCRN

[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting

NYC-Dataset

Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data

MapTR

[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

PLUMCN

Disclosure of information on PLUMCN paper

GPT-ST

[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"

MVFN

The code for "Multi-View Fusion Neural Network for Traffic Demand Prediction"

STD-MAE

[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

ST-GAT

ST-GAT: Spatio-Temporal Graph Attention Network for TrafficFlow Prediction

Basisformer

This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]

OD_benckmark

The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques

PEMS_data_acquisition

Crawl traffic data from PEMS

Urban_Concept_Drift

[CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation

LargeST

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)

CCHMM

This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"

STNSCM

This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"