MontePy is a Python library (API) to read, edit, and write MCNP input files.
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Updated
May 30, 2024 - Python
MontePy is a Python library (API) to read, edit, and write MCNP input files.
Fit and compare complex models reliably and rapidly. Advanced nested sampling.
2d Ising Model Montecarlo Simulation using Metropolis Algorithm
The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty
Election Simulator 3000: Simulates a variety of elections and voting methods
Parametric estimation of multivariate Hawkes processes with general kernels.
A dynamic microsimulation framework for python
📦 Python library for Stochastic Processes Simulation and Visualisation
The GitHub repository for "Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics", ICML 2024
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
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:
2024 SCU College of Mathematics - Monte Carlo Statistical Methods Assignments
The GitHub repository for "Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo", AISTATS 2024.
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
A suite of parsers designed to make interacting with SERPENT output files simple and flawless
Generating Deep Potential with Python
Instructing an AI Agent in the Strategies of Playing Blackjack Using Monte Carlo Control
Monte Carlo simulation for classical spin system implemented by metropolics/wolff_cluster... algorithm
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