#bayesian-inference (30 Repositories)
Ranked open-source repositories tagged with #bayesian-inference, scored by pull request acceptance likelihood and maintainer engagement velocity.
59.5%
31.4h
30 repositories tagged #bayesian-inference
pymc-labs/pathmc
Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.
pymc-devs/pytensor
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
stan-dev/stan
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
ReactiveBayes/ReactiveMP.jl
High-performance reactive message-passing based Bayesian inference engine
bilby-dev/bilby
A unified framework for stochastic sampling packages and gravitational-wave inference in Python.
TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
PyAutoLabs/PyAutoFit
PyAutoFit: Classy Probabilistic Programming
sbi-dev/sbi
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
paul-buerkner/brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
PyAutoLabs/PyAutoLens
PyAutoLens: Open-Source Strong Gravitational Lensing
thomaspinder/GPJax
Gaussian processes in JAX and Equinox.
erdogant/bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
TuringLang/Bijectors.jl
Implementation of normalising flows and constrained random variable transformations
bat/BAT.jl
A Bayesian Analysis Toolkit in Julia
ComputationalPsychiatry/pyhgf
PyHGF: A neural network library for predictive coding
blackjax-devs/blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
nimble-dev/nimble
The base NIMBLE package for R
IndrajeetPatil/statsExpressions
Tidy data frames and expressions with statistical summaries 📜
Julia-Tempering/Pigeons.jl
Sampling from intractable distributions, with support for distributed and parallel methods
CliMA/EnsembleKalmanProcesses.jl
Derivative-free parameter calibration and uncertainty quantification for expensive models using ensemble Kalman methods
QuantClimate/GPJax
Gaussian processes in JAX and Equinox.
stan-dev/rstan
RStan, the R interface to Stan
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
FRBNY-DSGE/DSGE.jl
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
baggepinnen/LowLevelParticleFilters.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
tpapp/DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
acerbilab/pyvbmc
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling
ddbourgin/numpy-ml
Machine learning, in numpy