JOSS Papers: inference

All Papers
2978
 Published Papers
2661
 Active Papers
317
published Published about 2 months ago

InvertibleNetworks.jl: A Julia package for scalable normalizing flows

Julia
@rafaelorozco
10.21105/joss.06554
published Published 3 months ago

Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference

Python
@Edenhofer
10.21105/joss.06593
published Published 4 months ago

FIGARO: hierarchical non-parametric inference for population studies

Python Jupyter Notebook
@sterinaldi
10.21105/joss.06589
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 5 months ago

ADIOS4DOLFINx: A framework for checkpointing in FEniCS

Python
@jorgensd
10.21105/joss.06451
published Published 6 months ago

Learning from Crowds with Crowd-Kit

Python
@dustalov
10.21105/joss.06227
published Published 6 months ago

LINFA: a Python library for variational inference with normalizing flow and annealing

Python
@daneschi
10.21105/joss.06309
published Published 6 months ago

HiddenMarkovModels.jl: generic, fast and reliable state space modeling

Julia
@gdalle
10.21105/joss.06436
published Published 6 months ago

TDApplied: An R package for machine learning and inference with persistence diagrams

R C++ C
@shaelebrown
10.21105/joss.06321
published Published 6 months ago

GPCERF - An R package for implementing Gaussian processes for estimating causal exposure response curves

R C++
@naeemkh
10.21105/joss.05465
Displaying papers 1 - 10 of 85 in total

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ISSN 2475-9066