The Python ensemble sampling toolkit for affine-invariant MCMC
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Updated
Sep 7, 2024 - Python
The Python ensemble sampling toolkit for affine-invariant MCMC
Code for Bayesian Analysis
MCMC parameter sampling code
QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation and Optimization.
⚡️ zeus: Lightning Fast MCMC ⚡️
Implementation of normalising flows and constrained random variable transformations
Sandia Uncertainty Quantification Toolkit
Bayesian inference for Gaussian mixture model with some novel algorithms
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Bayesian bi-clustering of categorical data
This is a repository for the ParaMonte library examples. For more information, visit:
Blang's software development kit
3D Indoor furniture parsing. Segments the front face of a furniture item into more useful functional elements such as door, drawers and shelves.
C++ MCMC sampler for the Simplicial Configuration Model
Ensemble Data Assimilation Modules
Python information for Adaptive Rejection Sampling (ARS)
My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba
Bayesian Inference. Parallel implementations of DREAM, DE-MC and DRAM.
Developmental version of R package BayesTwin
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