jmxpearson Goto Github PK
Name: John Pearson
Type: User
Company: Duke University
Bio: Computational neuroscience. Machine learning. PI @pearsonlab.
Location: Durham, NC
Name: John Pearson
Type: User
Company: Duke University
Bio: Computational neuroscience. Machine learning. PI @pearsonlab.
Location: Durham, NC
Task files for a continuous-time version of the balloon analogue risk task (BART)
Analysis code and figure generation for intracranial recording experiment using the balloon analogue risk task
Code to fit Bayesian versions of simple reinforcement learning models
Simple models of cfos count data.
Models for Chang et al. 2015
Finding spurious structure in high-dimensional data
Lecture notes for the cogneuro graduate class.
Fast temporal inference via a changepoint gas
Teaching materials for DIBS
Render distributions from Distributions.jl compatible with forward mode automatic differentiation from ForwardDiff.jl
Integration tests of ForwardDiff.jl and Distributions.jl
A Julia package for probability distributions and associated functions.
Materials for SSRI's introduction to Julia.
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
Gaussian processes in TensorFlow
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Analysis of electrophysiology from BART
Demonstration of Hopfield networks for DIBS Bootcamp 2020
John's web page
The Julia Language: A fresh approach to technical computing.
Materials for the Julia for Pythonistas tutorial at Pydata Carolinas 2016
Slides and code for my talk at JuliaCon 2016
Implementation of locally adaptive factor processes
Notes, assignments, and code for Quantitative Neurobiology (Spring 2018).
Metadata for registered Julia packages.
task code for mind reading
A microscopic in-browser viewer for electrophysiology data
Material for DIBS Neuro Bootcamp 2014
Uniform Interface for positive definite matrices of various structures
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.