#bayesian-inference (30 Repositories)
Ranked open-source repositories tagged with #bayesian-inference, scored by pull request acceptance likelihood and maintainer engagement velocity.
32.9%
39.5h
30 repositories tagged #bayesian-inference
pymc-labs/pathmc
Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.
PyAutoLabs/PyAutoFit
PyAutoFit: Classy Probabilistic Programming
ReactiveBayes/ReactiveMP.jl
High-performance reactive message-passing based Bayesian inference engine
PyAutoLabs/PyAutoLens
PyAutoLens: Open-Source Strong Gravitational Lensing
ComputationalPsychiatry/pyhgf
PyHGF: A neural network library for predictive coding
TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
paul-buerkner/brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
nimble-dev/nimble
The base NIMBLE package for R
CliMA/EnsembleKalmanProcesses.jl
Derivative-free parameter calibration and uncertainty quantification for expensive models using ensemble Kalman methods
bat/BAT.jl
A Bayesian Analysis Toolkit in Julia
baggepinnen/LowLevelParticleFilters.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
TuringLang/Bijectors.jl
Implementation of normalising flows and constrained random variable transformations
FRBNY-DSGE/DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Julia-Tempering/Pigeons.jl
Sampling from intractable distributions, with support for distributed and parallel methods
tpapp/DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
JuliaMath/MeasureTheory.jl
"Distributions" that might not add to one.
mschauer/ZigZagBoomerang.jl
Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection
JuliaGaussianProcesses/Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
slimgroup/InvertibleNetworks.jl
A Julia framework for invertible neural networks
probcomp/PClean
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
JuliaGaussianProcesses/TemporalGPs.jl
Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
bilby-dev/bilby
A unified framework for stochastic sampling packages and gravitational-wave inference in Python.
DynareJulia/Dynare.jl
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
erdogant/bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
cdslaborg/paramonte
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
stan-dev/rstan
RStan, the R interface to Stan
IndrajeetPatil/statsExpressions
Tidy data frames and expressions with statistical summaries 📜
stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling