JOSS Papers: Bayesian inference

All Papers
2979
 Published Papers
2659
 Active Papers
320
published Published about 2 months ago

InvertibleNetworks.jl: A Julia package for scalable normalizing flows

Julia
@rafaelorozco
10.21105/joss.06554
published Published 5 months ago

GrainLearning: A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials

Python PureBasic Jupyter Notebook
@luisaforozco
10.21105/joss.06338
published Published 7 months ago

Chi: A Python package for treatment response modelling

Python
@DavAug
10.21105/joss.05925
published Published 12 months ago

BlackBIRDS: Black-Box Inference foR Differentiable Simulators

Python
@arnauqb
10.21105/joss.05776
published Published 12 months ago

Bernadette: Bayesian Inference and Model Selection for Stochastic Epidemics in R

R C++ Stan
@bernadette-eu
10.21105/joss.05612
published Published 12 months ago

BayesFlow: Amortized Bayesian Workflows With Neural Networks

Python
@marvinschmitt
10.21105/joss.05702
published Published about 1 year ago

pysersic: A Python package for determining galaxy structural properties via Bayesian inference, accelerated with jax

@prappleizer
10.21105/joss.05703
published Published about 1 year ago

PyVBMC: Efficient Bayesian inference in Python

Python
@Bobby-Huggins
10.21105/joss.05428
published Published over 1 year ago

RxInfer: A Julia package for reactive real-time Bayesian inference

Jupyter Notebook Julia
@bvdmitri
10.21105/joss.05161
published Published over 1 year ago

flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX

Python
@kazewong
10.21105/joss.05021
Displaying papers 1 - 10 of 40 in total

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ISSN 2475-9066