JOSS Papers: Machine learning

All Papers
2101
 Published Papers
1883
 Active Papers
218
published Published 4 days ago

FuseMedML: a framework for accelerated discovery in machine learning based biomedicine

Python Jupyter Notebook
@alex-golts
10.21105/joss.04943
published Published about 1 month ago

MParT: Monotone Parameterization Toolkit

Dockerfile C++ Objective-C MATLAB
@mparno
10.21105/joss.04843
published Published about 1 month ago

GLUE Code: A framework handling communication and interfaces between scales

Fortran C++ C Python
@apachalieva
10.21105/joss.04822
published Published about 1 month ago

FreqAI: generalizing adaptive modeling for chaotic time-series market forecasts

Python
@robcaulk
10.21105/joss.04864
published Published 2 months ago

ClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learning

Julia
@AP6YC
10.21105/joss.03527
published Published 2 months ago

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

R
@adriancorrendo
10.21105/joss.04655
published Published 2 months ago

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

@dunnkers
10.21105/joss.04611
published Published 3 months ago

DataAssimilationBenchmarks.jl: a data assimilation research framework.

Julia Python
@cgrudz
10.21105/joss.04129
published Published 4 months ago

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

R C++
@bcjaeger
10.21105/joss.04705
published Published 4 months ago

haldensify: Highly adaptive lasso conditional density estimation in R

R
@nhejazi
10.21105/joss.04522
Displaying papers 1 - 10 of 127 in total

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