In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.
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Updated
May 20, 2024 - HTML
In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.
R program for a metropolis-hastings based MCMC sampler using a multivariate-normal proposal distribution.
Inverse prompting LLMs for interpretability
Graph: Representation, Learning, and Inference Methods
Solver of Tetravex puzzle using the Metropolis-Hastings simulated annealing algorithm in C++. demonstrate the effectiveness of the Metropolis-Hastings algorithm in solving combinatorial optimization problems, such as the Tetravex puzzle
Ising model, Glauber dynamics, Metropolis-Hastings algorithms, and renormalization.
Simulations Using Markov Chain Monte Carlo Methods
Python Implementation of Bayesian inference for GMM
Classical predictive models implemented in Python.
The programming part for the second assignment of the course DSC 531 - Statistical Simulations and Data Analysis of the University of Cyprus MSc in Data Science programme
A series of Numerical Simulation examples using various MonteCarlo techniques like Metropolis, Genetic Algos, Simulated Annealing etc.
Repository for work on probabilistic traffic flow modelling through constitutive law estimation on road (link) level
Generate a dot painting from a photo by using the Metropolis algorithm
Bayesian logistic regression using Metropolis-Hastings sampling techniques in R
This repository contains the project of CMKV class at EPITA. The goal of the project is to provide a solver for a Tetravex game using a Metropolis-Hasting.
Bayesian Regression Analyses from scratch - NBA data example
Java and Processing implementations for visualising various MCMC methods.
Notebook for implementing Monte Carlo techniques (Metropolis-Hastings and Augmented Gibbs) to solve a Bayesian Probit regression.
Implementations of optimization techniques, sampling methods and evolutionary algorithms
You may access the problem sets for the Data Analysis course I successfully completed at SBU in this repository. They come with a variety of issues. This course's primary topics included data mining, data analysis, and information extraction from data, as well as Monte Carlo techniques, particularly the Metropolis-Hastings and MCMC algorithms.
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