JOSS Papers: machine learning

Published Papers

published Published 2 days ago

AutoEIS: Automated equivalent circuit modeling from electrochemical impedance spectroscopy data using statistical machine learning

Python

10.21105/joss.06256

published Published about 1 month ago

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

Python Jupyter Notebook

10.21105/joss.07489

published Published about 1 month ago

AutoPDEx: An Automized Partial Differential Equation solver based on JAX

Python

10.21105/joss.07300

published Published about 1 month ago

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

Python

10.21105/joss.07783

published Published about 1 month ago

rjaf: Regularized Joint Assignment Forest with Treatment Arm Clustering

R C++

10.21105/joss.07843

published Published about 1 month ago

MACE: a Machine-learning Approach to Chemistry Emulation

Jupyter Notebook Python

10.21105/joss.07148

published Published about 1 month ago

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

Python

10.21105/joss.07613

published Published about 2 months ago

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

Python

10.21105/joss.07725

published Published about 2 months ago

AutoEmulate: A Python package for semi-automated emulation

Python Jupyter Notebook

10.21105/joss.07626

published Published 2 months ago

FTorch: a library for coupling PyTorch models to Fortran

Fortran

10.21105/joss.07602

Displaying papers 1 - 10 of 228 in total

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