JOSS Papers: Machine learning

All Papers
1931
 Published Papers
1714
 Active Papers
217
published Published 19 days ago

GPJax: A Gaussian Process Framework in JAX

Python
@thomaspinder
10.21105/joss.04455
published Published 26 days ago

swyft: Truncated Marginal Neural Ratio Estimation in Python

Jupyter Notebook Python
@bkmi
10.21105/joss.04205
published Published about 1 month ago

UnlockNN: Uncertainty quantification for neural network models of chemical systems

Python PureBasic
@a-ws-m
10.21105/joss.03700
published Published 3 months ago

imucal - A Python library to calibrate 6 DOF IMUs

Python
@AKuederle
10.21105/joss.04338
published Published 3 months ago

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

Julia
@AP6YC
10.21105/joss.03671
published Published 4 months ago

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

Python
@Moyoxkit
10.21105/joss.04240
published Published 4 months ago

ADaPT-ML: A Data Programming Template for Machine Learning

Dockerfile Python Batchfile
@nulberry
10.21105/joss.04038
published Published 5 months ago

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

Python
@florisvb
10.21105/joss.04078
published Published 5 months ago

HARDy: Handling Arbitrary Recognition of Data in Python

Python
@MariaPoliti
10.21105/joss.03829
published Published 5 months ago

NeuralHydrology --- A Python library for Deep Learning research in hydrology

Python
@kratzert
10.21105/joss.04050
Displaying papers 1 - 10 of 116 in total

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