aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Public facing notes page

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Probabilistic reasoning and statistical analysis in TensorFlow

Experimental algorithms. Unsupported.

Code to analyse structural covariance brain networks using python.

Histosketching Using Little Kmers

Software, architecture, and data index design for the 2018/2019 Virus Discovery Project

Automated Preprocessing Pipeline for Fetal Resting-State fMRI Data