Popular GitHub Repositories for Urban Water

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

SparkyFitness: Built for Families. Powered by AI. Track food, fitness, water, and health — together.

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

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

Transform geospatial relations into graph representations designed for spatial analysis and Graph Neural Networks (GNNs).

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles ?

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)

[ACM CSUR 2025] Understanding World or Predicting Future? A Comprehensive Survey of World Models

[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving

超快的 RM 陀螺运动预测，包含精密火控 water-gun、弹道校正和各种数学轮子 ⭐️bug 修复中

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

A professional list on Multi-modal Data Fusion Models and Key Datasets for Urban Computing.

[CVPR 2025] CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos

[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

This repository contains the code for the paper "LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments".

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments (CVPR2023)

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