JOSS Papers: Machine learning

Published Papers

published Published 6 days ago

BoxKit: A Python library to manage analysis of block-structured simulation datasets

Python C++

10.21105/joss.05649

published Published 9 days ago

PyBCI: A Python Package for Brain-Computer Interface (BCI) Design

Python C++

10.21105/joss.05706

published Published 25 days ago

pvOps: a Python package for empirical analysis of photovoltaic field data

Python Jupyter Notebook

10.21105/joss.05755

published Published about 1 month ago

Machine Learning Validation via Rational Dataset Sampling with astartes

Python

10.21105/joss.05996

published Published about 1 month ago

SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R

R

@blind-contours

10.21105/joss.05422

published Published about 1 month ago

JetNet: A Python package for accessing open datasets and benchmarking machine learning methods in high energy physics

Python Jupyter Notebook

10.21105/joss.05789

published Published 2 months ago

SIRUS.jl: Interpretable Machine Learning via Rule Extraction

Julia

10.21105/joss.05786

published Published 2 months ago

WSKNN - Weighted Session-based K-NN recommender system

Jupyter Notebook Perl Python

10.21105/joss.05639

published Published 2 months ago

brains-py, A framework to support research on energy-efficient unconventional hardware for machine learning

Python

10.21105/joss.05573

published Published 2 months ago

PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs

Python

10.21105/joss.05713

Displaying papers 1 - 10 of 165 in total

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