Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

An ArcGIS Python Toolbox for converting between GIS grid coordinates and CAD/real-world surface measurements while preserving true curve geometry. This tool applies scale factors to GIS feature ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. This manuscript ...

Processing flow for representational similarity analysis (RSA). Experimental stimuli or conditions are presented to both the subjects and the model we want to test. Using an estimator for the ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...

CERM and Department of Chemistry “Ugo Schiff”, University of Florence, Via Luigi Sacconi 6, Sesto Fiorentino 50019, Italy Consorzio Interuniversitario Risonanze Magnetiche di Metalloproteine, Via ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

Everything on a computer is at its core a binary number, since computers do everything with bits that represent 0 and 1. In order to have a file that is "plain text", so human readable with minimal ...