JOSS Papers: machine-learning

All Papers
3360
 Published Papers
2958
 Active Papers
402
published Published 14 days ago

ReadmeReady: Free and Customizable Code Documentation with LLMs - A Fine-Tuning Approach

Python Jupyter Notebook
@souradipp76
10.21105/joss.07489
published Published 15 days ago

AutoPDEx: An Automized Partial Differential Equation solver based on JAX

Python
@BodeTobias
10.21105/joss.07300
published Published 16 days ago

MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models

Python
@hellokayas
10.21105/joss.07783
published Published 17 days ago

rjaf: Regularized Joint Assignment Forest with Treatment Arm Clustering

R C++
@wustat
10.21105/joss.07843
published Published 22 days ago

MACE: a Machine-learning Approach to Chemistry Emulation

Jupyter Notebook Python
@silkemaes
10.21105/joss.07148
published Published 22 days ago

aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis

Python
@tvh0021
10.21105/joss.07613
published Published 23 days ago

Potnia: A Python library for the conversion of transliterated ancient texts to Unicode

Python
@etour-unimelb
10.21105/joss.07725
published Published about 1 month ago

AutoEmulate: A Python package for semi-automated emulation

Python Jupyter Notebook
@mastoffel
10.21105/joss.07626
published Published about 2 months ago

FTorch: a library for coupling PyTorch models to Fortran

Fortran
@jatkinson1000
10.21105/joss.07602
published Published 2 months ago

DeepBench: A simulation package for physical benchmarking data

Python Jupyter Notebook
@voetberg
10.21105/joss.06774
Displaying papers 1 - 10 of 227 in total

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ISSN 2475-9066