Sequential Monte Carlo in python
Particle Gibbs-based optimal control with performance guarantees for unknown systems with latent states
We propose a particle MCMC sampler to learn the kinetic parameters of a chemical system, specifically the adsorption and desorption of CO on Pd(111).
This repository contains a project called "particles" that explores GPU-accelerated particles using SDL_shadercross. It includes build instructions for Windows, Linux, and MacOS, along with controls for interacting with the particle system. 🐙🌟
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