Read the documentation at: celerite.rtfd.io. The Julia implementation is being developed in a different repository: ericagol/celerite.jl. Issues related to that implementation should be opened there.

This is the last post that summarizes our 3 previous posts on the applications of using capillary pressure parameters from High Pressure Mercury Injection (HPMI) core measurements to characterize our ...

Abstract: Computer simulations of the magnetizing process have been carried out by applying a numerical model to the theory of magnetization and demagnetization for magnetic materials. The numerical ...

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 ...

Advancements in additive manufacturing (AM) have transformed the manufacturing industry. The freedom of design, rapid prototyping, and low waste offered by AM, also called 3D printing, have led to its ...

Well placement optimization is one of the most challenging and expensive problems in the oil and gas industry. Well placement involves enhancing oil recovery by strategically drilling new infill wells ...

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 ...

The aim of this project was to learn the mathematical concepts of Gaussian Processes and implement them later on in real-world problems - in adjusted closing price trend prediction consisted of three ...

Denis works as a software developer who enjoys writing guides to help other developers. He has a bachelor's in computer science. He loves hiking and exploring the world. You might want to digitize a ...