JOSS Papers: ensemble learning

Published Papers

published Published 8 months ago

Abil: A Python package for the interpolation of aquatic biogeochemical datasets

Python Jupyter Notebook

10.21105/joss.08755

published Published about 1 year ago

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

Python

10.21105/joss.07975

published Published about 1 year 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 over 2 years ago

libEnsemble: A complete Python toolkit for dynamic ensembles of calculations

Python MATLAB Perl C

10.21105/joss.06031

published Published almost 3 years ago

Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses

C Fortran Python

10.21105/joss.05291

published Published over 5 years ago

MLJ: A Julia package for composable machine learning

Jupyter Notebook Julia

10.21105/joss.02704

published Published about 7 years ago

rrcf: Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Python

10.21105/joss.01336

published Published about 8 years ago

MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack

Python

10.21105/joss.00638

Displaying 8 papers

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