There are 0 repository under metropolis topic.
Metropolis theme of R package xaringan
RMarkdown with Metropolis/Mtheme for Beamer
Rust library for setting up and running distributed Monte-Carlo statistical simulations. Designed primarily for lattice QCD.
Google # Hash Code 2018 Challenge
Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model
Quarto reveal.js template extension inspired by Beamer Metropolis theme
Modern geometric typeface, now available as a package on NPM.
Ising model implementation in Python. Metropolis and Swendsen Wang algorithm.
max for live device based on intellijel's metropolis eurorack modue
Brown University color scheme for Metropolis beamer theme.
A dark-color custom theme for the LaTeX Metropolis beamer package using LuaLaTeX
A dystopian city-builder game, in the theme of the 1927 film by Fritz Lang
Metropolis generator for Raku language. Generate sequence of random samples from probability distribution function.
The inspections on some important literatures, mainly including codes.
Minimal Working Beamer Template for ETH Presentations in Metropolis Style
Metropolis consists of a suite of game developer tools that allows for easy integration to best suit your game and user experience.
Minor additions to the metropolis theme in beamer fo amore minimal look.
My Monte-Carlo numerical simulations of competing dynamics Ising model
GMK Metropolis inspired theme for Home Assistant
Monte Carlo sampling and integration methods for high energy physics.
Coursework in FYS4150 - Computational Physics at the University of Oslo.
a presentation using LaTeX beamer in Peking University
Markov Chain Monte Carlo
Código en JAVA del BACKEND de la aplicación implancec-recicladores
A real-time visualization of the Monte Carlo 2D Ising model for teaching purposes
metropolis beamer theme for Cornell University
The LaTeX Metropolis theme adapted to be used at TU Dortmund.
Metropolis MCMC algorithm to estimate fault kinematic parameters in the elastic half-space dislocation model by Savage and Burford (1973)
Generate a dot painting from a photo by using the Metropolis algorithm
An implementation of the BUGS example LSAT: item response (http://www.openbugs.net/Examples/Lsat.html) on R. Parameters for the Rasch model are estimated using Maximum Marginal Likelihood as well as Bayesian Inference using jags and an implementation of Metropolis on R.
Template for latex presentations and build environment in Docker.
This workshop is tailored for university graduates eager to explore the synergy between artificial intelligence, deep learning, and robotics using NVIDIA Jetson devices and the robust Metropolis SDK.