jona-sassenhagen/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
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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
Highly extensible deep learning framework
Public repository.