Personal Website with Blogposts, Achievements and Ideas
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Updated
Jun 6, 2024 - HTML
Personal Website with Blogposts, Achievements and Ideas
Distributed and parallel sampling from intractable distributions
CmdStanR: the R interface to CmdStan
The base NIMBLE package for R
Bayesian inference with probabilistic programming.
MCMC sample analysis, kernel densities, plotting, and GUI
Blazing fast topic modelling for short texts.
Generalisation of electrical models of neurons with MCMC
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Bayesian Modeling and Probabilistic Programming in Python
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Robust implementation for random-walk Metropolis-Hastings algorithms
A list of Python-based MCMC & ABC packages
A modular high-level library for running high-dimensional Metropolis algorithms across a variety of scaling and tempering conditions.
Bayesian Evolutionary Analysis Sampling Trees
PhyML -- Phylogenetic estimation using (Maximum) Likelihood
Directed evolution of proteins in sequence space with gradients
Equilibrium Expectation for ERGM parameter estimation for large networks
A Bayesian Analysis Toolkit in Julia
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