montecarlo

Estudio de modelo de simulación de Montecarlo

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

Trabajo práctico para la materia de simulación 4k2 referente a la unidad de Montecarlo

A statistical model of the COVID-19 vaccination campaign. It segments the population into agnostics, pro-, and anti-vaccines. Vaccination is modeled as a Poisson process, and social pressure on the population can change their views on vaccines. The model can faithfully reproduce real-world data.

[Desktop Application] Recreated 2048 Game by Gabriele Cirulli with an AI Solver.

Computes the nth root using Monte Carlo simulation

AlphaZero and MonteCarlo Tree Search algorithms applied to game of TicTacToe and Connect4

Exploring latent structure for signed Monte Carlo weight refinement through a reproducible Python study of dimensionality reduction, density-ratio estimation, kernels and neural networks.

final-project-swe4s_mclj created by GitHub Classroom

Example voila app that calculates pi interactively using the Archimedes method and a Montecarlo method

un código que soluciona una integral mediante el método de monte carlo

Dots and boxes is a fun and simple classic pen-and-paper game for 2 or more player or even 1. But what if it is not constrained to pen and paper? Well, in that case, it surely saves more paper, and what if we make it a bit more interesting and pleasing to the eye, that's what we thought & and that's exactly what we did. An elegant UI enhances th…

Interactive Python/Streamlit app that uses Monte Carlo simulation to model uncertainty in long-term investment outcomes.

Fast, institutional-grade Python backtesting: vectorized Numba engine, intrabar SL/TP, purged CV, Monte Carlo (incl. prop-firm), GPU-batched & genetic optimization, portfolios.

From personal project to SaaS platform, Helios Deployment is the WebApp version of Helios, an AI-powered investment assistant designed to democratize professional investing for everyone.

Síntesis de multiplicadores binarios mediante RL tabular: agentes Monte Carlo, Q-learning y SARSA rellenan tablas de productos parciales verificadas en Verilog (Icarus, CPU) o evaluadas como tensores batched en GPU (PyTorch/CUDA).

Six Tetris Artificial Intelligence Algorithms Showdown

CellAutomaton

This program generates dots with an active user interface.

a Python toolkit for exploring Monte Carlo methods through interactive simulations