JOSS Papers: likelihood-free inference

All Papers
3293
 Published Papers
2909
 Active Papers
384
published Published over 1 year ago

BayesFlow: Amortized Bayesian Workflows With Neural Networks

Python
@marvinschmitt
10.21105/joss.05702
published Published over 2 years ago

swyft: Truncated Marginal Neural Ratio Estimation in Python

Jupyter Notebook Python
@bkmi
10.21105/joss.04205
published Published almost 3 years ago

pyABC: Efficient and robust easy-to-use approximate Bayesian computation

Python Mako
@yannikschaelte
10.21105/joss.04304
published Published over 4 years ago

sbi: A toolkit for simulation-based inference

Python Jupyter Notebook
@janfb
10.21105/joss.02505
published Published almost 9 years ago

carl: a likelihood-free inference toolbox

Python Mako
@glouppe
10.21105/joss.00011
Displaying 5 papers

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ISSN 2475-9066