There are 32 repositories under monte-carlo-simulation topic.
A program for financial portfolio management, analysis and optimisation.
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
OpenMC Monte Carlo Code
Mathematical Finance Library: Algorithms and methodologies related to mathematical finance.
Molecular dynamics and Monte Carlo soft matter simulation on GPUs.
A curated list of open source projects used in nuclear science and engineering
Fortran and Python examples to accompany the book "Computer Simulation of Liquids" by Michael P. Allen and Dominic J. Tildesley (2nd edition, Oxford University Press, 2017). Use the "Code" button, or follow the "Releases" link below.
Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.
Powerful, efficient particle trajectory analysis in scientific Python.
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
SiEPIC EBeam PDK & Library, for SiEPIC-Tools and KLayout
Companion code for "Modern Computational Finance: AAD and Parallel Simulations" (Antoine Savine, Wiley, 2018)
Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning
A program with an implemented Monte Carlo Ray Tracer algorithm for global illumination of a virtual 3D scene.
A CAD file interface for GEANT4
Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both on an individual stock and portfolio-basis, stand-alone and vs. a benchmark of choice (constructed with wxPython)
Header only framework for data analysis in massively parallel platforms.
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.
Excell addin for performing Monte Carlo simulation
Monte Carlo and Molecular Dynamics Simulation Package
LAMMPS tutorials for both beginners and advanced users
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.
Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).