JOSS Papers: machine-learning

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2040
 Published Papers
1832
 Active Papers
208
published Published 5 days ago

ClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learning

Julia
@AP6YC
10.21105/joss.03527
published Published 5 days ago

metrica: an R package to evaluate prediction performance of regression and classification point-forecast models

R
@adriancorrendo
10.21105/joss.04655
published Published 6 days ago

fseval: A Benchmarking Framework for Feature Selection and Feature Ranking Algorithms

@dunnkers
10.21105/joss.04611
published Published 18 days ago

DataAssimilationBenchmarks.jl: a data assimilation research framework.

Julia Python
@cgrudz
10.21105/joss.04129
published Published 2 months ago

aorsf: An R package for supervised learning using the oblique random survival forest

R C++
@bcjaeger
10.21105/joss.04705
published Published 2 months ago

haldensify: Highly adaptive lasso conditional density estimation in R

R
@nhejazi
10.21105/joss.04522
published Published 3 months ago

PCRedux: A Quantitative PCR Machine Learning Toolkit

R JavaScript
@devSJR
10.21105/joss.04407
published Published 4 months ago

GPJax: A Gaussian Process Framework in JAX

Python
@thomaspinder
10.21105/joss.04455
published Published 4 months ago

swyft: Truncated Marginal Neural Ratio Estimation in Python

Jupyter Notebook Python
@bkmi
10.21105/joss.04205
published Published 5 months ago

UnlockNN: Uncertainty quantification for neural network models of chemical systems

Python PureBasic
@a-ws-m
10.21105/joss.03700
Displaying papers 1 - 10 of 123 in total

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