Abstract: Accurate power load forecasting is crucial to the safe and stable operation of power systems. In the context of spot market, the dynamically changing real-time market tariff gives the ...
Abstract: The importance of Model Parallelism in Distributed Deep Learning continues to grow due to the increase in the Deep Neural Network (DNN) scale and the demand for higher training speed.
This repository presents a comprehensive implementation and extension of the CVPR 2016 paper "A Hierarchical Deep Temporal Model for Group Activity Recognition". Our approach employs a sophisticated ...
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