jona-sassenhagen/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Python package for covariance matrices manipulation and Biosignal classification
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HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
SemiAutomatic Selection of Independent Components for Artifact correction in the EEG
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
Highly extensible deep learning framework