Stars
A compilation of the best multi-agent papers
A workflow of using street view imagery to estimate road slope
Official implementation of Global urban visual perception varies across demographics and personalities and SPECS dataset
Resources and paper list for "Thinking with Images for LVLMs". This repository accompanies our survey on how LVLMs can leverage visual information for complex reasoning, planning, and generation.
Repository for manuscript: Revealing building operating carbon dynamics for multiple cities with open science
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Integrating hierarchical urban features and cross-view visual information for building attributes prediction
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
AI foundations and applications for urban analytics - A comprehensive course with 10 modules covering ML, DL, geospatial AI, and computer vision for urban planning professionals.
A simple and powerful platform for conducting streetscape perception surveys with image-based questions. Deploy in minutes with Supabase and Vercel.
An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery
USC urban data science course series in Python
Spatial Join & Enrich any urban layer given any external urban dataset of interest, streamline your urban analysis with Scikit-Learn-Like pipelines, and share your insights with the urban research…
A Python package for street view image perception analysis, providing tools for feature extraction and comfort prediction.
The study leverages street view images to understand urban-scale streetscape thermal comfort.
[ICLR & NeurIPS 2025] Repository for Show-o series, One Single Transformer to Unify Multimodal Understanding and Generation.
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A Python package for tackling diverse environmental prediction tasks with NPs.
Liu, S. and Shi, Q., 2020. Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China. ISPRS Journal of Photogrammetry and Remote Sens…
Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！
This open-source version of space syntax analysis (axial/segment) features user-friendly functions that can be easily tailored and edited to incorporate new experimental functionalities, requiring …
A network-based python package to understand and model urban complexity
📱 Collaborative List of Open-Source iOS Apps