A Python framework for the Multilevel Monte Carlo method, featuring efficient sampling with HPC support, advanced moment and PDF estimation, and flexible post-processing for data analysis.
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Updated
Jun 11, 2026 - Python
A Python framework for the Multilevel Monte Carlo method, featuring efficient sampling with HPC support, advanced moment and PDF estimation, and flexible post-processing for data analysis.
This contains the implementation for the examples in the paper "Multi-index Sequential Monte Carlo ratio estimators for Bayesian Inverse problems".
A pathfinding framework that ensures solvability in procedural generation using Multi-Layered Meta-Collapse (MLMC) and WFC
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