JOSS Papers: machine-learning

All Papers
1705
 Published Papers
1521
 Active Papers
184
published Published 5 months ago

torchquad: Numerical Integration in Arbitrary Dimensions with PyTorch

Python
@gomezzz
10.21105/joss.03439
published Published 5 months ago

Abmarl: Connecting Agent-Based Simulations with Multi-Agent Reinforcement Learning

Python
@rusu24edward
10.21105/joss.03424
published Published 6 months ago

Biosensor Framework: A C# Library for Affective Computing

C#
@wsarce
10.21105/joss.03455
published Published 7 months ago

Kinetic.jl: A portable finite volume toolbox for scientific and neural computing

Julia
@vavrines
10.21105/joss.03060
published Published 8 months ago

gmr: Gaussian Mixture Regression

Python
@AlexanderFabisch
10.21105/joss.03054
published Published 8 months ago

Magicwand: A platform to provide high-quality, reliable, and reproducible data sets for low-and-slow DDoS attacks.

Python
@ctodd26labs
10.21105/joss.03032
published Published 9 months ago

mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines

R
@pschloss
10.21105/joss.03073
published Published 9 months ago

Predihood: an open-source tool for predicting neighbourhoods' information

Python JavaScript
@fduchatea
10.21105/joss.02805
published Published 9 months ago

imodels: a python package for fitting interpretable models

Python Jupyter Notebook
@csinva
10.21105/joss.03192
published Published 9 months ago

BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia

Julia
@sylvaticus
10.21105/joss.02849
Displaying papers 11 - 20 of 104 in total

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