GitHub topics: monte-carlo-methods
rafaelab/MonteCarlo_astro_course
Examples for the course Monte Carlo Methods in Astrophysics
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andramarkov/Pyton-and-Nim
Python and Nim
Language: Python - Size: 396 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

rakshita95/bayesian_regression
Bayesian Linear regression using MCMC and Variational Inference
Language: Python - Size: 170 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 2

zca21/SC-CW2
Statistical Computing coursework 2 repo - relating to Monte Carlo sampling methods
Language: R - Size: 82 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

zca21/Bayesian-CW-repo
Bayesian statistics and Likelihood MSc coursework repo - Creating function to perform MCMC gibbs sampling
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khusheekapoor/ArtificialIntelligenceProjects
Mini Projects on Artificial Intelligence including Reinforcement Learning, Gaming Agents, Multi Armed Bandits, Markov Decision Process, Dynamic Programming, Monte Carlo Methods
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59alireza59/Quantitative-Finance
A Quantitative Finance Engineering Project
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hritikb/Reinforcement-Learning-Algorithms
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philtabor/Reinforcement-Learning-In-Motion
Code repository for my course on the fundamentals of reinforcement learning
Language: Python - Size: 1.97 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 89 - Forks: 53

Jsos17/Monte_Carlo
Various simple experiments with the Metropolis-Hastings algorithm and ordinary Monte Carlo methods. Personal project, autumn 2019.
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JohannesBuchner/paper-nested-sampling-stepsampler-comparison
Code accompaning the paper "Comparison of Step Samplers for Nested Sampling"
Language: Python - Size: 15.6 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

vishwakftw/Pump-Failure-Prediction 📦
Coursework pertaining to CS5350 : Bayesian Data Analysis offered in Spring 2019
Language: Python - Size: 197 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

jonpoveda/montecarlo-project-estimator 📦
A project estimator based on Monte Carlo experiments
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pie972/Adversarial-Search
Research Paper about adversarial search
Language: Python - Size: 1.7 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

NicoHerrig95/Monte-Carlo-simulation-study
solving two probability-based mathematical problems using empirical simulation methods
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ITNeri/Dynamic_Delta_Hedging
Hedging options by using Monte Carlo simulations or real data
Language: Python - Size: 101 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

alessandro-viani/ToyExample
Example of an inverse problem where the aim is to reconstruct the parameters of an unknown number of weighted Gaussian function
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simonneidhart/guidedDQMC
Diffusion Quantum Monte Carlo With Gaussian Guiding Wave Functions
Language: Fortran - Size: 46.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

francescotorregrossa/deep-reinforcement-learning-nanodegree
Exercises and projects from Udacity's Nanodegree
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the-other-mariana/lagrange-for-gini-croatia
Program that estimates the Gini coefficient of a country using Lagrange Interpolation for Lorenz curve approximation.
Language: Python - Size: 17.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

generic-github-user/self-avoiding-walks
Simulating self-avoiding random walks on lattices and experimenting with grid graphs, Hamiltonian paths, etc.
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Physics-Simulations/MCRand
MCRand is a library of Monte Carlo methods. Multidimensional integration, non-uniform random number generation, etc.
Language: Python - Size: 536 KB - Last synced at: 19 days ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

ShreeshaN/ReinforcementLearningTutorials
This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient
Language: Python - Size: 4.32 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 6

akjayant/Coding_Reinforcement_Learning
Implementation of basic RL steps and algorithms - Dynamic Programming approach, Monte-Carlo approach, DQN on Atari, Policy Gradient - Reinforce with baseline, Actor Critic (A2C)
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cevenkadir/ferminet_tum
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.
Language: Python - Size: 585 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

martinozanetti/LSN-Martino-Zanetti
Esercizi da consegnare per il corso di Simulazione Numerica - prof. Davide Emilio Galli
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shammill/Approximation-of-Pi
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.
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nayantelrandhe/Metropolis-Algorithm
Metropolis Algorithm for a 2D Ising Model
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ZikangZhou/nim_rl
A reinforcement learning framework for the game of Nim.
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mtchibozo/Telecom
Things I studied at Telecom ParisTech.
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kanji95/Topics-in-Machine-Learning-CS7.502
Topics in Machine Learning @ IIIT Hyderabad (Fall 2021)
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xyntechx/Monte-Carlo-Traffic
🚦 Traffic Simulation via Monte Carlo Methods
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dashnak90/Markov-Simulation
Program that simulates customer behaviour in a supermarket (Monte Carlo Markov Chain Simulations)
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antonio-f/MonteCarlo-methods
Monte Carlo methods for Reinforcement Learning (from Udacity's "Deep Reinforcement Learning Nanodegree Program").
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OneUpWallStreet/Reinforcement-Learning
All of my reinforcement learning projects (Some of the projects may contain errors :D )
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madmoiselleve/Bsc-projects
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tvdaal/dna-patterns
Identifying patterns in DNA sequences using Monte Carlo techniques.
Language: Python - Size: 1.48 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

mansaronsson/MonteCarloRayTracer Fork of filiparvidsson/Monte-Carlo-Ray-Tracer
A Monte Carlo ray tracer, implemented from scratch using C++.
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jonathanloganmoran/EDAN95-Applied-Machine-Learning
This is the repository for the EDAN95 - Tillämpad maskininlärning (Applied Machine Learning) course given at Lunds Tekniska Högskola (LTH) during the Fall 2019 term.
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amagana8/poker-monte-carlo
Uses Monte Carlo Methods to determine the probability a starting hand in poker will win the round.
Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1

MkHunter/processing_MonteCarlo
Visualization of probabilistic simulation experiments: Monte Carlo methods.
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kiranmukesh7/Computational-Astrophysics
Semi-automated root finding, Interpolation, Gauss Elimination method, LU Decomposition, Linear Algebra, Numerical Analysis - integration, differentiation, Newton cotes, Monte Carlo, Ordinary Differential Equation (ODE) solver, Curve Fitting, Signal Processing, Convolution, Correlation, Fourier Transform, Search Methods and many more
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majsylw/Python-3.x-examples
Some notes for python consultations in summer semester 2020/21
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steccas/piEst
PI estimator that uses the Monte Carlo Hit or Miss algorithm
Language: C++ - Size: 16.6 KB - Last synced at: 12 months ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 0

hmohebbi/MDP_TabularMethods
The implementation of tabular solution methods in Reinformcement Learning, Sutton's book: Part I
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DNS/Population-Test
Hypergamy Test, Prodigy vs Average Population, Intelligence increase/decrease of offsprings.
Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ryan-tabar/Approximating-Pi
Approximating pi using monte carlo methods. (First time using Rust)
Language: Rust - Size: 1.42 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

mathiasgout/blackjack-strategy
Python Blackjack terminal based game and looking for the best strategy with MC methods
Language: Python - Size: 2.71 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

marmello77/multiple-networks
An R script to help analyze the structure of multiple networks at the same time.
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philsch91/MonteCarloKit
A Monte-Carlo tree search framework written in Objective-C
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batra98/Monte_Carlo-TD-Function_Approximation
Use Monte-Carlo (MC) Methods and Temporal Difference (TD) Learning on couple of games and toy problems.
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bnarath/Tic-Tac-Toe
In Reinforcement Learning, the learning happens through the interaction with the environment. Actions are taken probabilistically, based on past experiences and based on the results, the learning is continuously improved to take better actions. By this, the long term returns are maximized. In this project, I have built a Reinforcement Learning Agent that plays Tic-Tac-Toe game with a normal player and learns the competitive skills over time. It is exactly like how humans learn!!
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albertoCCz/FisicaComputacional
Ejercicios y problemas trabajados en la asignatura.
Language: Python - Size: 103 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

philsch91/MLChess
A iOS chess app based on MonteCarloKit and UIKit written in Swift
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ecterceocgan/deck-divide-dollar
Evolving agents to play deck-based divide-the-dollar.
Language: Python - Size: 76.2 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

mihirp1/montecarlo_mpi
Implementation of Neutron Transport Model in MPI C
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artfin/mcint
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mikeghen/snap-eligibility-estimate
Estimating Local SNAP Eligibility using Monte-Carlo Methods
Language: Python - Size: 653 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

ColinShaw/ocaml-monte-carlo-hyperspheres
Example of computing n-dimensional hyperspheres by Monte Carlo methods, both threaded and non-threaded
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