An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

Report upload: Once the destination is determined, the report is automatically uploaded to SharePoint via MS Graph API. By specifying the folder path in the API request, it’s also possible to create ...

For example usage, we encourage you to checkout the scripts in the examples folder and in the tests folder. The examples folder contains two scripts showing typical usage. The script simpleExample.py ...

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...

The two classes called ConfigDict and FrozenConfigDict are "dict-like" data structures with dot access to nested elements. Together, they are supposed to be used as a main way of expressing ...

Getting good at LeetCode Java isn’t just about solving problems; it’s about having a good plan. You need to know where to ...

Abstract: We initiate an open-source library for the efficient analysis of temporal graphs. We consider one of the standard models of dynamic networks in which each edge has a discrete timestamp and ...