Ising model, Glauber dynamics, Metropolis-Hastings algorithms, and renormalization.
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Updated
Jun 12, 2024 - Python
Ising model, Glauber dynamics, Metropolis-Hastings algorithms, and renormalization.
A series of Numerical Simulation examples using various MonteCarlo techniques like Metropolis, Genetic Algos, Simulated Annealing etc.
LatticeAnimals.jl - Generate random lattice animals (polyforms) from the percolation model using the Metripolis algorithm
Robust implementation for random-walk Metropolis-Hastings algorithms
gradient based MCMC sampler
In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.
Cuadernos introductorios
A simple molecular dynamics demo using Julia
Inverse prompting LLMs for interpretability
A package for performing Metropolis Hasting Algorithm.
Command-line tool for making charged, patchy Particles
Decrypt a message with the Metropolis-Hasting Algorithm
A C++ library of Markov Chain Monte Carlo (MCMC) methods
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
pyDNA-EPBD: A Python-based Implementation of the Extended Peyrard-Bishop-Dauxois Model for DNA Breathing Dynamics Simulation
Parallel Bayesian inference for decomposable graphical models.
Missing data imputation using the exact conditional likelihood of Deep Latent Variable Models
Implementations of optimization techniques, sampling methods and evolutionary algorithms
C++ Markov Chain Monte Carlo Sampling
Implementing MCMC sampling from scratch in R for various Bayesian models
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