shapedtw-python is an extension to the dtw-python package, implementing the shape dtw algorithm described by L. Itii and J. Zhao in their paper (it can be downloaded from here: shapeDTW: shape Dynamic ...

To develop a Python-based digital technique for accurate measurement of pupil size, corneal size, and eccentricity in guinea pigs, and to validate its efficiency and accuracy against traditional OCT ...

Quantification of gene expression is a common subject in the field of molecular biology. One of the main purposes of such studies is to identify genes with increased or decreased expression levels ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

In the world of software development, accessing geographic data to find nearby places is a common need. While Google Places API is a popular choice, it may not always be the best option due to API ...

In this guide, we embark on a journey to explore the world of 3D geometry manipulation using the power of Python. Our focus is on mastering the creation and editing points and faces in 3D space, with ...

If you're new to the world of machine learning and optimization, the term "Gradient Descent" might sound intimidating. However, don't let the name scare you away. Gradient Descent is a fundamental ...

What if instead of defining a mesh as a series of vertices and edges in a 3D space, you could describe it as a single function? The easiest function would return the signed distance to the closest ...

Topic clusters and recommender systems can help SEO experts to build a scalable internal linking architecture. And as we know, internal linking can impact both user experience and search rankings.

Let’s face it, robots are cool. They’re also going to run the world some day, and hopefully, at that time they will take pity on their poor soft fleshy creators (a.k.a. robotics developers) and help ...