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  1. Measure whether aleatoric and epistemic uncertainty are estimated orthogonally

    Python 2

  2. An analysis of EMG/EEG/EOG data for continuous real-time BCI control.

    Jupyter Notebook 1

  3. A classifier that listens to a stream of EMG data through PyLSL, and publishes classifications back to that stream. It is designed for left-right movements with EMG recorded on the lower arms.

    Jupyter Notebook 1

  4. Uncertainty can be disentangled into aleatoric and epistemic uncertainty, but there's two ways of doing this. This repository compares both over a collection of new benchmarks.

    Jupyter Notebook

Read the original on github.com ↗