This is the repository for the collection of Deep Learning for Traffic Prediction Problems.

A re-implementation of T-GNN, a framework for pedestrian trajectory prediction that addresses the performance decrease caused by distribution differences across different domains, by leveraging dom…

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

A collection of AWESOME things about Graph-Related LLMs.

Awesome-LLM: a curated list of Large Language Model

[TRC] Context-aware next location prediction

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

[Walmart Recruiting - Store Sales Forecasting] The Kaggle Competition Solution: Adaptive Graph Convolutional Network for Walmart Recruiting Store Sales Forecasting

RESTful APIs of main Network Functions in the 3GPP 5G Core Network

This Intelligent Transportation Systems (ITS) MQTT client based on the JSon ETSI specification transcription provides a ready to connect project for the mobility (connected and autonomous vehicles,…