Monte Carlo simulation of 2D Ising Model. Final project of the LoCP-A course during 2020/2021 at Unipd

Image denoising using Markov random fields.

Neural Network Quantum State

metropolis-hastings random walk with PySpark

Python code that performs that Feynman path integral for a specified potential. Demonstrated by approximating the average energy of the quantum harmonic oscillator for various temperatures.

Bayesian maximum likelihood of a Black Sholes stochastic scenario generator.

Python code that simulates the 2D Ising Model on a square periodic lattice of arbitrary size using Markov Chain Monte Carlo.

In the first semester of my MSc. studies, we developed a phyton version of the Gibbs Sampler and Metropolis-Hastings Algorithm from the scratch. We described our results and analysis in a report.

MCMC parameter space sampling via Metropolis-Hastings

Companion Jupyter Notebook for "Self-Assembly of a Dimer System"

Topological Data Analysis for Parameter Estimation of Noisy Biexponential Decay (UD GEMS research project)

Markov Chain Monte Carlo algorithms.

Gerador de valores de uma distribuição de probabilidade bidimensional. Via algoritmo de Metropolis-Hastings.

Notebooks for Bayesian Foundations (Course 1)

Contains various machine learning algorithms and their implementations.

metropolis markov chain monte carlo algorithm

Performing a Sobol global sensitivity analysis on a flood risk model in Selinsgrove, PA

Various simple experiments with the Metropolis-Hastings algorithm and ordinary Monte Carlo methods. Personal project, autumn 2019.

Technical Reports