John Pearson's repositories
julia-for-pythonistas
Materials for the Julia for Pythonistas tutorial at Pydata Carolinas 2016
duke-julia-ssri
Materials for SSRI's introduction to Julia.
matlab-neurobio
Notes, assignments, and code for Quantitative Neurobiology (Spring 2018).
DIBS_materials
Teaching materials for DIBS
juliacon-2016-talk
Slides and code for my talk at JuliaCon 2016
bart_analysis
Analysis code and figure generation for intracranial recording experiment using the balloon analogue risk task
cfos_counts
Simple models of cfos count data.
chang_et_al_2015
Models for Chang et al. 2015
cogneuro_lectures
Lecture notes for the cogneuro graduate class.
DiffableDistributions.jl
Render distributions from Distributions.jl compatible with forward mode automatic differentiation from ForwardDiff.jl
distribution_diff_tests
Integration tests of ForwardDiff.jl and Distributions.jl
Distributions.jl
A Julia package for probability distributions and associated functions.
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
GPflow
Gaussian processes in TensorFlow
hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
hopfield-demo
Demonstration of Hopfield networks for DIBS Bootcamp 2020
jmxpearson.github.io
John's web page
julia
The Julia Language: A fresh approach to technical computing.
METADATA.jl
Metadata for registered Julia packages.
mscope
A microscopic in-browser viewer for electrophysiology data
StatsFuns.jl
Mathematical functions related to statistics.
vmftests
internal testing on vMF samplers