Various algorithms, without explanation of their work
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Updated
May 29, 2024 - Python
Various algorithms, without explanation of their work
Estimating Local SNAP Eligibility using Monte-Carlo Methods
A library which trains the Fermionic Neural Network to find the ground state wave functions of an atom or a molecule using neural network quantum states.
Optimization of Stochastic Differential Equation Solver for Particle Data Set Generation using Fast Point Cloud Diffusion (FPCD) model.
PHY407 Computational Physics
ROS package that implements Monte Carlo Localization
almond heil's project for the 2021 Institute for Computing in Research. Licensed under the GNU General Public License 3.0.
Estimates the value of Pi using the Monte Carlo method
Genetic algorithm for solving non linear system of equations
Hypergamy Test, Prodigy vs Average Population, Intelligence increase/decrease of offsprings.
Calculate integral with Newton-Coates/Monte Carlo methods.
Code accompaning the paper "Comparison of Step Samplers for Nested Sampling"
Reinforcement learning is used to train player agent and dealer agent in Black Jack games, mainly using Monte Carlo method
Ejercicios y problemas trabajados en la asignatura.
Program that estimates the Gini coefficient of a country using Lagrange Interpolation for Lorenz curve approximation.
My python implementation of different Computational Methods and Applications.
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.
Identifying patterns in DNA sequences using Monte Carlo techniques.
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