HKUDS/UrbanGPT
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
UrbanGPT helps urban planners, smart city developers, and operations managers predict complex urban phenomena by analyzing spatio-temporal data like traffic patterns, public transport usage, or environmental sensor readings. It takes in historical data with location and time information and generates predictions or insights for future urban conditions, even in situations with limited historical data. This is for professionals who need to understand and forecast how cities evolve over time and space.
428 stars. No commits in the last 6 months.
Use this if you need to make sense of large datasets that combine location, time, and other urban factors to predict outcomes with high accuracy, especially when traditional methods struggle with sparse data.
Not ideal if your data lacks explicit spatial or temporal dimensions, or if your primary need is for simpler, non-contextual data analysis.
Stars
428
Forks
47
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 18, 2025
Commits (30d)
0
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