Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

ABSTRACT: During the last few decades, we have witnessed the advent of Personal Computers, the Internet, and Social Networks. In turn, these technological innovations have been incorporated into areas ...

Ruth's Gills Pie: A Rule-Based Gillespie Algorithm for Simulating Particle Interactions With a Polymer in Python Ruth's Gills Pie (standing for RUle-based GillesPie algorithm) is a Python framework ...

The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics modeled as interacting sequences of discrete events including systems of biochemical reactions or ...

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

This work introduces the differentiable Gillespie algorithm, DGA, which is a differentiable variant of the celebrated (and exact) Gillespie algorithm commonly used to perform stochastic simulations ...

Abstract: Predicting stochastic spreading processes across large-scale multi-layered networks remains a significant computational challenge due to the intricate interplay between network structure and ...

What are Machine learning algorithms in Python? Which guide should I choose?"- This guide explains explicitly the operation of Machine Learning methods and how to implement them in Python. Whether you ...

ABSTRACT: Algorithmic technology in the gig economy is widely used and adopted by digital platform companies as a new form of managing employees. However, this approach has changed the form of ...