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.
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Updated
Jul 18, 2022 - Python
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.
CERN ROOT codes used to develop the images and graphs in the article on my blog: http://muonray.blogspot.com/2014/09/particle-physics-software-and-financial.html
Learning how to play Blackjack using tabular reinforcement learning algorithms - Monte Carlo first visit - Q learning
Various algorithms, without explanation of their work
Section 11 of tentative book on Markov chains, with application of Monte Carlo Markov chain methods to the Ising model, image reconstruction with Gibbs sampling, and Bayesian hierarchical statistical models.
A Monte Carlo ray tracer, implemented from scratch using C++.
Example of computing n-dimensional hyperspheres by Monte Carlo methods, both threaded and non-threaded
An R script to help analyze the structure of multiple networks at the same time.
Some notes for python consultations in summer semester 2020/21
Metropolis Algorithm for a 2D Ising Model
The repository contains codes for RL (e.g., Q-Learning, Monte Carlo, …) in the form of Python files.
A highly modular simulation framework of Monte-Carlo methods, based on the Ising Model in a 2D spin lattice. Producing results for the macroscopic properties of the system via simulation and bootstrapping. A few commonly used algorithms are built-in. Model generalizations and additional algorithms can be implemented.
A package of Monte Carlo functions for simulating and analyzing data on the Lebwohl-Lasher model.
This repository presents a novel approach developed by Prof. Patrick Cheridito and myself for computing conditional expectations with numerical guarantees.
The Raysail is a Monte Carlo type raytracer based on the learn Ray Tracing in One Weekend series using Rust. It was forked from the Remda project, which implements the features from first two books of the series.
Reinforcement learning is used to train player agent and dealer agent in Black Jack games, mainly using Monte Carlo method
Durante a matéria de Cálculo foi dado o trabalho de realizar duas regressões, Polinomial com dados feitos de maneira exponencial e Logística com a base de dados 'Spam email', nesta regressão em específica foi necessária a redução da dimensão com PCA e por fim o método de monte carlo.
Exercise delivery for "Numerical Simulation Laboratory" course at University of Milan.
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