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Library for active learning and uncertainty estimation in machine learning

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alpaca

https://raw.githubusercontent.com/stat-ml/alpaca/master/images/alpaca.png

Package for active learning and uncertainty quantification in neural nets.

Installation

You can install the package via pip

pip install alpaca-ml

Code examples

Tutorial are available as example notebooks in examples folder.

  • [Uncertainty for classification task](examples/classification_uq.ipynb)
  • [Uncertainty for regression task](examples/regression_uq.ipynb)
  • [Active learning on regression](examples/active_learning.ipynb)
  • [Uncertainty visualization](examples/visualization.ipynb)

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Library for active learning and uncertainty estimation in machine learning

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  • Jupyter Notebook 67.8%
  • Python 31.4%
  • Shell 0.8%