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.
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Updated
Jul 18, 2022 - Python
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.
Optimization of Stochastic Differential Equation Solver for Particle Data Set Generation using Fast Point Cloud Diffusion (FPCD) model.
CERN ROOT codes used to develop the images and graphs in the article on my blog: http://muonray.blogspot.com/2014/09/particle-physics-software-and-financial.html
Learning how to play Blackjack using tabular reinforcement learning algorithms - Monte Carlo first visit - Q learning
Various algorithms, without explanation of their work
Section 11 of tentative book on Markov chains, with application of Monte Carlo Markov chain methods to the Ising model, image reconstruction with Gibbs sampling, and Bayesian hierarchical statistical models.
A Monte Carlo ray tracer, implemented from scratch using C++.
A highly modular simulation framework of Monte-Carlo methods, based on the Ising Model in a 2D spin lattice. Producing results for the macroscopic properties of the system via simulation and bootstrapping. A few commonly used algorithms are built-in. Model generalizations and additional algorithms can be implemented.
Example of computing n-dimensional hyperspheres by Monte Carlo methods, both threaded and non-threaded
An R script to help analyze the structure of multiple networks at the same time.
Some notes for python consultations in summer semester 2020/21
Metropolis Algorithm for a 2D Ising Model
The repository contains codes for RL (e.g., Q-Learning, Monte Carlo, …) in the form of Python files.
Reinforcement learning is used to train player agent and dealer agent in Black Jack games, mainly using Monte Carlo method
Theories and code related to Deep learning topics involved in Reinforcement learning
Exercise delivery for "Numerical Simulation Laboratory" course at University of Milan.
A project estimator based on Monte Carlo experiments
Visualization of probabilistic simulation experiments: Monte Carlo methods.
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