There are 13 repositories under monte-carlo-simulations topic.
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Monte Carlo and Molecular Dynamics Simulation Package
Assortment of code for model systems in computational physics. github.com/rajeshrinet/compPhy
A Monte Carlo molecular simulation software especially suited for materials simulations with polarizable models
The Gaussian Mixture Probability Hypothesis Density filter, GMPHD python implementation
A set of radiation transport mini-applications used for performance optimization on HPC systems.
using the Inverse-Transform method to speed up options pricing simulations in R
Python code of commonly used stochastic models for Monte-Carlo simulations
Open-source/Oak-Ridge Wang-Landau (OWL): A suite for first-principles based Monte Carlo simulations
A student Investment portfolio web app built with various optimization techniques and screening parameters from core finance
PXO (Poly-XTAL Operations). Generate, analyze and export complex 2D space partitions like metallic grain structures
In this repository, a buy-and-hold investment is studied using Python and a Monte Carlo approach.
Monte-Carlo simulations of four-dimensional Yang-Mills theories coupled to scalar and fermion fields
Data Science portfolio of ipython Notebooks with several Machine Learning algorithms. They follow a structured data science methodology to face various challenges
Monte Carlo overview and their applications
Monte Carlo Event Generator for High Energy Diffraction [arXiv:1910.06300] [arXiv:2304.06010]
Monte Carlo Simulations in different languages
Web apps illustrating science & math concepts.
Pricing TARN Using Numerical Methods
Monte Carlo Simulation Course Assignments
This program generates dots with an active user interface.
Pseudo-random number Linear Congruential Generator (LCG) with arbitrarily long integer arithmetic
Repository for the code written for the MMC LongLab
Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression
An asset-pricing model using historical prices. Volatility of the asset is modeled as the random variable that changes over time and each iteration. For modelling the future price behavior, Monte Carlo simulations were performed.
Hard sphere monte carlo simulations in C++
This was a first year University project I completed in 2013. It uses a Monte Carlo method to find an approximation to Pi. See Buffon's needle problem for related reading. Written in Python, and uses Turtle.
A Simple Algorithm for Converting Random Number Generator Outputs to Universal Distributions to Aid Teaching and Research in Modern Physical Chemistry
For benchmarking MCCE experiments viz experimental pKas or viz other MCCE experiments (A/B testing)
Series of simulations analyzing common chemical engineering, thermodynamic, and kinetic phenomena
Here I will be doing budget analysis with Plaid, creating a retirement plan with Monte Carlo simulations, and generating a financial report.
Parallel and sequential versions of Monte Carlo integral estimation algorithm implemented in Scala