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Mech Assemble: Zombie Swarm codes (July 2026)

Mech Assemble: Zombie Swarm is a roguelike game where you assemble your mech and use it to fight off waves of zombies and ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
marktechpost

A Coding Implementation of a Complete Hierarchical Bayesian Regression Workflow in NumPyro Using JAX-Powered Inference and Posterior Predictive Analysis

In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...
GitHub

lisa-analysis-tools/Eryn

Below is a quick set of instructions to get you started with eryn. Please read CONTRIBUTING for details on our code of conduct, and the process for submitting pull requests to us. See CONTRIBUTORS for ...
PNAS

Profile of Kenneth L. Lange

Recent advances in computing have accelerated researchers’ ability to amass and analyze data. University of California, Los Angeles mathematical scientist Kenneth Lange uses his expertise in ...
Europe PMC

Practical guidelines for Bayesian phylogenetic inference using Markov Chain Monte Carlo (MCMC) [version 1; peer review: 2 approved, 1 approved with reservations]

Version 1. Open Res Eur. 2023; 3: 204. Published online 2023 Nov 20. https://doi.org/10.12688/openreseurope.16679.1 ...
GitHub

StOP: Stochastic Optimization of Parameters for IMP

StOP is a gradient-free, parallel, global, stochastic, multi-objective optimization algorithm primarily written to optimize the MCMC (Markov Chain Monte Carlo) sampling parameters for the Integrative ...