JOSS Papers: bayesian inference

All Papers
3948
 Published Papers
3410
 Active Papers
538
published Published 16 days ago

torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch

Jupyter Notebook Python
@ArvidWeyrauch
10.21105/joss.09415
published Published 3 months ago

rmcmc: Robust Markov chain Monte Carlo methods in R

R Stan
@matt-graham
10.21105/joss.08594
published Published 3 months ago

Bamojax: Bayesian Modelling with JAX

Python Jupyter Notebook
@maxhinne
10.21105/joss.08642
published Published 9 months ago

AutoEIS: Automated equivalent circuit modeling from electrochemical impedance spectroscopy data using statistical machine learning

Python
@ma-sadeghi
10.21105/joss.06256
published Published 10 months ago

sbi reloaded: a toolkit for simulation-based inference workflows

Python
@janfb
10.21105/joss.07754
published Published 12 months ago

4DModeller: a spatio-temporal modelling package

R
@rwestaway
10.21105/joss.07047
published Published 12 months ago

pyMechT: A Python package for mechanics of soft tissues

Python
@ankushaggarwal
10.21105/joss.07490
published Published about 1 year ago

jax-smfsb: A Python library for stochastic systems biology modelling and inference

Python
@darrenjw
10.21105/joss.07491
published Published about 1 year ago

SBIAX: Density-estimation simulation-based inference in JAX

Python Roff
@homerjed
10.21105/joss.07606
published Published about 1 year ago

PeakPerformance - A tool for Bayesian inference-based fitting of LC-MS/MS peaks

Python
@MicroPhen
10.21105/joss.07313
Displaying papers 1 - 10 of 51 in total

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