59 Open source projects that are alternatives of or similar to lattice_mc

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

GOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems

Application of the L2HMC algorithm to simulations in lattice QCD.

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

Classical Monte Carlo simulations for lattice spin systems

A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.

Teaching Utility for Classical Atomistic Simulation.

A Python implementation of the rough Bergomi model.

Some Monte Carlo tools

Computational Methods for Numerical Analysis

A native Julia code for lattice QCD with dynamical fermions in 4 dimension.

Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader

Markov chain Monte Carlo solver for lattice spin systems implemented by Julialang

machine learning

OpenCossan is an open and free toolbox for uncertainty quantification and management.

🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains

Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).

Python implementation of the Ising model

Cassandra is a Monte Carlo package to conduct atomistic simulations.

Financial Derivatives Calculator with 168+ Models (Options Calculator)

Monte Carlo Raytracer from Scratch in C++11/14

ANTARES Visualizations

BioSTEAM's Premier Repository for Biorefinery Models and Results

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

physics meets neural networks

A continuous-time hybridization-expansion Monte Carlo code for calculating n-particle Green's functions of the Anderson impurity model and within dynamical mean-field theory.

Monte Carlo simulation of energy-dispersive X-ray fluorescence spectrometers

Applications of Monte Carlo methods to financial engineering projects, in Python.

A Power BI template that provides easy to understand, actionable flow metrics and predictive analytics for your agile teams using Azure DevOps, Azure DevOps Server and/or TFS.

Physically based renderer with Path Tracing and Photon Mapping.

🌳 Domain independent implementation of Monte Carlo Tree Search methods.

NCrystal : a library for thermal neutron transport in crystals and other materials

Monte Carlo software for simulating light propagation

Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution

Sup bois, here's my work

Planning for robotic exploration based on forward simulation

Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).

Monte Carlo eXtreme for OpenCL (MCXCL)

This repository contains implementations of some basic sampling methods in numpy.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Classical and quantum Monte Carlo simulations in Julia

continuous energy monte carlo neutron transport in general geometries on GPUs

VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms

A dynamic microsimulation framework for python

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

A Python module for carrying out GCMC insertions and deletions of water molecules in OpenMM.

An instructive one-file Ruby path tracer

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator

Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot prices for the underlying are fetched from Yahoo Finance API.

HOOMD-blue example scripts.

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

CRPropa is a public astrophysical simulation framework for propagating extraterrestrial ultra-high energy particles. https://crpropa.github.io/CRPropa3/

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

A probabilistic prototype for deployment of Fog applications.

A python based, MPI enabled, Monte-Carlo calculation of 2D system using Metropolis algorithm.

Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab

AdaptivePELE is a Python package aimed at enhancing the sampling of molecular simulations