An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

We provide a set of example data and a quick-start jupyter notebook tutorial "ppp.ipynb". Make sure that you have sucessufully installed the Python as well as the numpy in your environment. Due to the ...

Abstract: Transportation Networks (TNs) play a critical role in economic and social systems, yet the dynamic nature and inherent heterogeneity of TN data pose challenges for Dynamic Knowledge ...

Abstract: Large variations across images make image classification a challenging task; limited training data further increases its difficulty. Genetic programming (GP) has been considerably applied to ...