JOSS Papers: probabilistic inference

All Papers
3125
 Published Papers
2792
 Active Papers
333
published Published about 1 year ago

TensorInference: A Julia package for tensor-based probabilistic inference

Julia
@mroavi
10.21105/joss.05700
published Published over 1 year ago

PyVBMC: Efficient Bayesian inference in Python

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

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

Python
@kazewong
10.21105/joss.05021
published Published over 2 years ago

Generative DAGs as an Interface Into Probabilistic Programming with the R Package causact

R
@flyaflya
10.21105/joss.04415
published Published over 3 years ago

exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series

Python
@dfm
10.21105/joss.03285
published Published over 3 years ago

PyGModels: A Python package for exploring Probabilistic Graphical Models with Graph Theoretical Structures

Python
@D-K-E
10.21105/joss.03115
published Published almost 4 years ago

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting

Python
@Jammy2211
10.21105/joss.02550
Displaying 7 papers

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ISSN 2475-9066