Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
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Updated
May 13, 2024 - Python
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Distributed and parallel sampling from intractable distributions
Bayesian Evolutionary Analysis Sampling Trees
MCMC sampling algorithms for linear inverse models in R
CmdStanR: the R interface to CmdStan
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Autologistic Actor Attribute Model (ALAAM) parameter estimation, simulation, and goodness-of-fit
A modular high-level library for running high-dimensional Metropolis algorithms across a variety of scaling and tempering conditions.
Bayesian Modeling and Probabilistic Programming in Python
Cuadernos introductorios
Single-cell copy number calling and event history reconstruction.
Course materials for PROBABILITY AND STATISTICS A/B
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Bayesian inference with probabilistic programming.
Personal Website with Blogposts, Achievements and Ideas
Bayesian Generalized Linear models using `@formula` syntax.
The base NIMBLE package for R
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
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