Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
kmcos is designed for lattice based Kinetic Monte Carlo simulations to understand chemical kinetics and mechanisms. It has been used to produce more than 10 scientific publications. Links to tutorials ...
MiCoNE is a Python package for the exploration of the effects of various possible tools used during the 16S data processing workflow on the inferred co-occurrence networks. It is also developed as a ...
Strip the types and hotwire the HTML—and triple check your package security while you are at it. JavaScript in 2026 is just ...