STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Abstract: Accurate line and transformer parameters are essential for all application functions in the energy management system. Assessment and decision results will be distorted if parameter errors ...
The homesteaders at Mason Dixon Acres successfully propagate roses using simple and reliable gardening techniques. Trump's administration won't seek new bids to repair the Lincoln Memorial Reflecting ...
Topica: fast, all-purpose topic modeling for Python topica is a fast topic-modeling library for Python with more than a dozen models, built for social scientists who want to move from text data to ...