JOSS Papers: edited by @terrytangyuan

All Papers
1538
 Published Papers
1332
 Active Papers
206
published Published 3 months ago

BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia

Julia
@sylvaticus
10.21105/joss.02849
published Published 9 months ago

MLJ: A Julia package for composable machine learning

Jupyter Notebook Julia
@ablaom
10.21105/joss.02704
published Published 10 months ago

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX

Python JavaScript Jupyter Notebook
@jonasrauber
10.21105/joss.02607
published Published 12 months ago

Surprise: A Python library for recommender systems

Python
@NicolasHug
10.21105/joss.02174
published Published 12 months ago

audiomate: A Python package for working with audio datasets

Python
@ynop
10.21105/joss.02135
published Published about 1 year ago

Spleeter: a fast and efficient music source separation tool with pre-trained models

Python Jupyter Notebook
@romi1502
10.21105/joss.02154
published Published about 1 year ago

PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data

Python
@briandesilva
10.21105/joss.02104
published Published over 1 year ago

ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists

Python Jupyter Notebook JavaScript
@ornlpmcp
10.21105/joss.01656
published Published over 1 year ago

shapr: An R-package for explaining machine learning models with dependence-aware Shapley values

R Python C++
@martinju
10.21105/joss.02027
published Published over 1 year ago

scikit-hubness: Hubness Reduction and Approximate Neighbor Search

Python
@VarIr
10.21105/joss.01957
Displaying papers 1 - 10 of 20 in total

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