Bigscity-LibCity and M-LibCity
These are ecosystem siblings—M-LibCity is a MindSpore-based reimplementation of LibCity's core traffic prediction models, allowing users to choose between PyTorch (LibCity) and MindSpore (M-LibCity) backends for the same urban spatio-temporal prediction framework.
About Bigscity-LibCity
LibCity/Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
This library helps urban planners, traffic engineers, and smart city researchers analyze and predict various aspects of city movement. You can input historical traffic data, public transport usage, or GPS trajectories to forecast traffic flow, predict ride-share demand, estimate travel times, or identify common routes. It's designed for anyone needing to understand and model urban mobility patterns to make better operational or planning decisions.
About M-LibCity
LibCity/M-LibCity
M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore
This library helps urban planners and traffic managers predict city-wide spatio-temporal events like traffic conditions or movement patterns. It takes in historical traffic data, location information, and event logs, then outputs forecasts for traffic status, next-location predictions for vehicles, or estimated arrival times. Researchers and practitioners focused on smart city initiatives and transportation analytics would find this valuable.
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