👤 Multi-Armed Bandit Algorithms Library (MAB) 👮
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Updated
Sep 6, 2022 - Python
👤 Multi-Armed Bandit Algorithms Library (MAB) 👮
Bayesian Collaborative Denoiser for Monte Carlo Rendering
Tools for developing pluvial (excess rainfall) and fluvial scenarios for probabilistic flood risk analyses
Wrap up Platform to launch all PELE features. [AdaptivePELE, MSM, LigandGrowing, Glide Rescoring]
This repository illustrates some work in using GLMs to price car insurance based on car insurance policy and claim data. It also features some systematic data exploration and the use of MonteCarlo simulation to investigate the effectiveness of the pricing policies we are using.
I wrote a Master's in Finance thesis on Monte Carlo simulation of the Multifractal Model of Asset Returns. This is a model developed in the late 1990's by Benoît Mandelbrot and his two students, Laurent Calvet and Adlai Fisher. I had never programmed before and this was my first big coding project — so sorry if the code sucks! I did what I could :)
SdePy: Numerical Integration of Ito Stochastic Differential Equations
This notebook provides some skills to perform financial analysis on economical data.
Montecarlo simulations/analysis for finance (equity simulator)
C++ implementation of a poker equity calculator as montecarlo simulation
Exercises from Sutton and Barto's Reinforcement Learning: An Introduction
Dark Matter Simulation Code for Underground Scatterings - Crust Edition
Run MetaTrader 4 backtests through a Montecarlo Simulation
Reinforcement learning techniques applied to solve pricing problems in e-commerce applications. Final project for "Online learning applications" course (2021-2022)
MonteCarlo techniques applied to feature models.
Tools for Stochastic Simulation using diffusion models (R).
Monte Carlo Pricing with extendable PayOff model
Contains a generic wide beam CT scanner Monte Carlo Source model for FLUKA along with scripts for Preprocessing, Postprocessing and Parallel simulation capability on a HPC
Robust estimations from distribution structures: III. Non-asymptotic
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