Michael Waskom

Statistical data visualization in Python

A Python charting library built on top of matplotlib that lets you create polished statistical visualizations, scatter plots, heatmaps, distribution charts, bar charts, with far less code, working seamlessly with pandas data tables.

Data pipelines and analysis library for functional MRI

Small web apps that illustrate statistical concepts

Data and code from Waskom and Kiani (2018) Current Biology

Data repository for seaborn examples

A translation of Kendrick's MATLAB statistics class materials into Python

Assorted utilities for neuroimaging and cognitive science

Analysis repository for Waskom et al., (2017) Cerebral Cortex

Statistical Methods for Behavioral and Social Sciences

Bayesian optimal probability learner

Tutorial notebooks for Nipype

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

matplotlib: plotting with Python

Personal site

Interactive cortical connectivity explorer

Matplotlib artist annotation

Code for replication project for Experimental Methods Class

Python tools for Freesurfer

Psychophysics experiment control

Workflows and interfaces for neuroimaging packages

Analysis repository for Waskom et al., (2014) J Neurosci

fMRI Reporting Webapp

Human Neuroimaging Methods course materials

RFC document, tooling and other content related to the dataframe API standard

Experiment code for various retinotopic mapping experiments

Functional neuroimaging region of interest extraction and analysis in Python.

Code for stimulus presentation and analysis of Psych202 group project

Utilities for running psychology experiments

NiPype code for gfluid project

Stimulus code for the parametric uncertainty experiment

Timeseries analysis for neuroscience data

Neuroimaging in python

Toolbox for circular statistics with Python

Code and data from Waskom, Asfour, and Kiani (2018) J Vision

Source files for Statistical Thinking For the 21st Century

PsychoPy experiment code for the GAPE (Grating abstraction perception experiment) project

Simple script to show a calibration stimulus and fit an exponential function

Python client library for Modal

Diffusion map based embedding and alignment

Scratch repository for setting up NMA notebook CI workflow

Code for the figures in the "Ten Simple Rules for Computational Modeling of Psychological Data" paper.

analyses for perceptual and mnemonic decision making experiment

S3 Filesystem

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Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

The Brain Activity Flow ("Actflow") Toolbox

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Example MATLAB code to generate a random dot stimulus

Delayed saccade task

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Visigoth experiment for resting state scans

A population receptive field estimation tool

A neuroscience library for Python, intended to complement the existing nibabel library.

For running psychology and neuroscience experiments

Experimenting with d3 renderings for matplotlib plots

Neurosynth core tools

Python package to access a cacophony of neuro-imaging file formats