Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
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Updated
Jun 13, 2024 - Python
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
Monte Carlo eXtreme for OpenCL (MCXCL)
MontePy is a Python library (API) to read, edit, and write MCNP input files.
Celeritas is a new Monte Carlo transport code designed to accelerate scientific discovery in high energy physics by improving detector simulation throughput and energy efficiency using GPUs.
SpinWalk, a framework for Monte-Carlo simulation to model spins random walk within a microvascular network
3D Monte Carlo radiative transfer code for supernovae/kilonovae
A suite of parsers designed to make interacting with SERPENT output files simple and flawless
Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator
Teaching Utility for Classical Atomistic Simulation.
Author's implementation of SIGGRAPH 2024 paper, "Velocity-Based Monte Carlo Fluids"
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Fast stochastic simulator for chemical reaction networks
Practical volume computation and sampling in high dimensions
pyMBE provides tools to facilitate building up molecules with complex architectures in the Molecular Dynamics software ESPResSo. For an up-to-date API documention please check our website:
Layer over brightway2 for algebraic definition of parametric models and super fast computation of LCA
These are the files to build Data Driven Decisions open educational resources
A Julia package for differentiating through expectations with Monte-Carlo estimates
BioSTEAM's Premier Repository for Biorefinery Models and Results
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