JOSS Papers: edited by @terrytangyuan

Published Papers

published Published over 2 years ago

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

Julia

10.21105/joss.02849

published Published about 3 years ago

MLJ: A Julia package for composable machine learning

Jupyter Notebook Julia

10.21105/joss.02704

published Published about 3 years ago

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

Python JavaScript Jupyter Notebook

10.21105/joss.02607

published Published over 3 years ago

Surprise: A Python library for recommender systems

Python

10.21105/joss.02174

published Published over 3 years ago

audiomate: A Python package for working with audio datasets

Python

10.21105/joss.02135

published Published over 3 years ago

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

Python Jupyter Notebook

10.21105/joss.02154

published Published over 3 years ago

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

Python

10.21105/joss.02104

published Published almost 4 years ago

ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists

Python Jupyter Notebook JavaScript

10.21105/joss.01656

published Published almost 4 years ago

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

R Python C++

10.21105/joss.02027

published Published almost 4 years ago

scikit-hubness: Hubness Reduction and Approximate Neighbor Search

Python

10.21105/joss.01957

Displaying papers 1 - 10 of 20 in total

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