An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

The devkit of the nuPlan dataset.

Source Code for FINCH Clustering Algorithm

Machine learning for transportation data imputation and prediction.

GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

Code release for "PredCNN: Predictive Learning with Cascade Convolutions" (IJCAI 2018)

Graph Neural Network Library for PyTorch

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

AAAIA2020-Accident Forecasting Experiments Setups

Source Codes for KDD'19 Paper - DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events

Implementation of Graph Convolutional Networks in TensorFlow

A simple and modern Java and Kotlin web framework

This file is based on FFMpeg in Linux. * It gets data stream from camera in advice(with video4linux2) * go through by AVFilter to fit the size of each frame * and encode it with MPEG1VIDEO encoder,…