In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting tools. We work through its full ...
This repo provides a class MHP for doing basic experimentation with a Hawkes process. It works for both uni- and multivariate processes, and implements both synthetic sequence generation and parameter ...
We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...
Abstract: State-of-the-art open graph visualization tools like Gephi, KeyLines, and Cytoscape are not suitable for studying street networks with thousands of roads since they do not support ...
Biologics manufacturing entails multiple complex unit operations across three key process areas: cell culture, purification, and sterile fill–finish (Figure 1). Numerous raw materials are used to ...
NeuroKit2 is a Python Toolbox for Neurophysiological Signal Processing. The presented method is an adaptation of NeuroKit2 to simplify and automate computation of the various mathematical estimates of ...
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