The repository contains notebooks containing few Monte-Carlo algorithms and Machine learning implementation of Metropolis algorithm.

The code for monte carlo method of hit and miss algorithm solved for a specifc problem.

Monte-carlo random walk method for solving a boundary value problem, the algorithm is solved for a specofoc problem

Comparison of numpy and python Random no. generators

Implementation of metropolis algorithm for ising model

Implementation of kawasaki algorithm for ising model

Metropolis algorithm implemented for Potts model

A program for self avoiding random walks through a lattice

A program to determine Curie temperature

Curie temperature curve fitting model creation using keras

Predicting Curie temperature Using pretrained model

Teaching a Long short Term memmory model to learn Metropolis algorithm

Using the trained model to predict The final states by using it combination with a Metropolis algorithm with fewer steps.