dunovank

oceans16-syntax

Oceans16 Color Scheme for Atom

Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

radd_kd

RADD demo code and docs

RL_DDM

Reinforcement learning + drift-diffusion modeling

academic-keyword-occurrence

Extracts the historic word occurrence of a search term in academic papers

blog

for code created as part of http://studywolf.wordpress.com

bqplot

Plotting library for IPython/Jupyter Notebooks

ccmsuite

Python cognitive modelling suite

coax_website

dmr

Topic Models with Dirichlet-multinomial Regression

dvnk-icons

Atom file specific icons for improved visual grepping

ezdiff

Python implementation of EZ-diffusion model by Wagenmakers et al.

FHDMM

grade3-syntax

Grade3 Syntax Theme for Atom

hackermath

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

jasp-desktop

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

jdm

notebooks and code for Psych 154, Judgment and Decision Making

jupyter_themes

A plugin to select syntax highlighting on Jupyter

kabuki

kabuki is a python toolbox that allows easy creation of hierarchical bayesian models for the cognitive sciences.

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

makeyourownneuralnetwork

Code for the Make Your Own Neural Network book

pFH

Supplementary information, code, & examples for probabilistic Face/House experiment

power_nrn

Power analysis for Nature Reviews Neuroscience review

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

pynb

iPython Notebooks

pyseqsample

Python functions to study sequential sampling models of decision-making

sentiment-analysis

Collection of public dockerized sentiment analyzers

sklearn_pycon2015

Materials for my Pycon 2015 scikit-learn tutorial.

sklearn_tutorial

Materials for my scikit-learn tutorial