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.

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.

metropolis-hastings random walk with PySpark

Neural Network Quantum State

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.

MCMC parameter space sampling via Metropolis-Hastings

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.

Lennard Jones system optimization using the Metropolis Hastings and Simulated Annealing algorithms.

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

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

Personal project, autumn 2019.

This assignment aims to develop a Gibbs sampling and Metropolis Hastings Algorithm to sample from a specified probability distribution.

Contains various machine learning algorithms and their implementations.

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

Notebooks for Bayesian Foundations (Course 1)

"AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization"

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