martinwhl/T-GCN-PyTorch
A PyTorch implementation of T-GCN
This tool helps traffic engineers and urban planners predict future traffic conditions using historical traffic data and road network information. It takes time-series traffic speed or volume data, alongside a graph representation of roads, to output predictions of traffic flow for upcoming time periods. It is designed for those who build and deploy machine learning models for traffic forecasting.
No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist working on traffic prediction models and prefer using PyTorch.
Not ideal if you are looking for a plug-and-play application for traffic prediction rather than a codebase for building models, or if you exclusively use TensorFlow.
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64
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9
Language
Python
License
MIT
Category
Last pushed
Apr 16, 2023
Commits (30d)
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