Name: Christopher Gagne
Type: User
Company: Max Planck Institute for Biological Cybernetics
Bio: I am currently a postdoc in Peter Dayan's computational neuroscience group. My research focuses on computational psychiatry and reinforcement learning.
Location: Tuebingen, Germany
Christopher Gagne's Projects
make an R package to implement a genetic algorithm for variable selection in regression problems, including both linear regression and GLMs.
Google Research
Models and examples built with TensorFlow
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Within this repo, I altered some of the PyMC3 source code so that it can run on either Theano or TensorFlow backends
Presentations made at the QuACK (Quantitative Analysis & Coding Knowledge) workshops at UC Berkeley.
example for how to use sagemaker to run Bark with a custom docker