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 ...

RFF can be applicable to many other machine learning algorithms than the above. The author will provide implementations of the other algorithms soon. This module supports training/inference on GPU.

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

My name is Scott and I'm a programmer in Missouri. I write things in PHP, Python, Javascript, and SQL. My name is Scott and I'm a programmer in Missouri. I write things in PHP, Python, Javascript, and ...

Red Hat’s Quarkus is a full-stack, open-source Java framework designed for containers and cloud environments. See why it’s a worthy alternative to Spring. Quarkus is a full-stack, open-source Java ...

Wonderwords is a Python package useful for generating random words and structured random sentences. It also comes with a colorful command line interface for quickly generating random words. The latest ...

In my last article, I showed you 3 ways to import external data into Google Sheets. In this article, we'll take a look at how to use a JSON API in Google Sheets and how to convert JSON data to Google ...

The diffusion model is a commonly used tool to infer latent psychological processes underlying decision-making, and to link them to neural mechanisms based on response times. Although efficient open ...