JOSS Papers: machine learning

All Papers
1977
 Published Papers
1754
 Active Papers
223
published Published 4 days ago

haldensify: Highly adaptive lasso conditional density estimation in R

R
@nhejazi
10.21105/joss.04522
published Published about 1 month ago

PCRedux: A Quantitative PCR Machine Learning Toolkit

R JavaScript
@devSJR
10.21105/joss.04407
published Published 2 months ago

GPJax: A Gaussian Process Framework in JAX

Python
@thomaspinder
10.21105/joss.04455
published Published 2 months ago

swyft: Truncated Marginal Neural Ratio Estimation in Python

Jupyter Notebook Python
@bkmi
10.21105/joss.04205
published Published 3 months ago

UnlockNN: Uncertainty quantification for neural network models of chemical systems

Python PureBasic
@a-ws-m
10.21105/joss.03700
published Published 4 months ago

imucal - A Python library to calibrate 6 DOF IMUs

Python
@AKuederle
10.21105/joss.04338
published Published 5 months ago

AdaptiveResonance.jl: A Julia Implementation of Adaptive Resonance Theory (ART) Algorithms

Julia
@AP6YC
10.21105/joss.03671
published Published 6 months ago

swift-emulator: A Python package for emulation of simulated scaling relations

Python
@Moyoxkit
10.21105/joss.04240
published Published 6 months ago

ADaPT-ML: A Data Programming Template for Machine Learning

Dockerfile Python Batchfile
@nulberry
10.21105/joss.04038
published Published 6 months ago

PyNumDiff: A Python package for numerical differentiation of noisy time-series data

Python
@florisvb
10.21105/joss.04078
Displaying papers 1 - 10 of 118 in total

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ISSN 2475-9066