Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Abstract: This work studies the online parameter identification of cost functions in a generalized Nash game, where each player's cost function is influenced by an observable signal and some unknown ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

Python is best thought of as a dynamic but strongly typed language. Types aren’t associated with the names of things, but with the things themselves. This makes Python flexible and convenient for ...

https://www.riteshmodi.com - Data Scientist, AI and blockchain expert with proven open-source solutions on MLOps, LLMOps and GenAIOps. https://www.riteshmodi.com - Data Scientist, AI and blockchain ...

We introduce new modules in the open-source PyCBC gravitational-wave astronomy toolkit that implement Bayesian inference for compact-object binary mergers. We review the Bayesian inference methods ...

The object-oriented paradigm popularized by languages including Java and C++ has slowly given way to a functional programming approach that is advocated by popular Python libraries and JavaScript ...