Official Implementation of Data-Driven Precipitation Nowcasting Using Satellite Imagery (AAAI2025)

PDFM Embeddings: location-based vectors for geo-spatial analysis.

Official code for StegoGAN: Leveraging Steganography for Non-bijective Image-to-Image Translation

"OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"

BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"

Starter Kit for the NeurIPS 2023 Weather4cast competition

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

SteganoGAN is a tool for creating steganographic images using adversarial training.

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting