A C++ library of Markov Chain Monte Carlo (MCMC) methods
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Updated
Feb 8, 2024 - C++
A C++ library of Markov Chain Monte Carlo (MCMC) methods
ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion
Python solver for the Brownian, Stochastic, or Noisy Differential Equations
CES framework in Python
prNet paper, official implementation. Phase Retrieval via Stochastic Refinement
A package to solve global optimization problems in small dimensions. The method is based on sampling algorithms, and specifically implements the high-resolution Langevin algorithm.
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