Michael Waskom (mwaskom)

mwaskom

Geek Repo

Company:@modal-labs

Location:New York, NY

Home Page:mwaskom.github.io

Twitter:@michaelwaskom

Github PK Tool:Github PK Tool


Organizations
cni
KianiLab
nipy
PySurfer
seaborn
WagnerLab
WagnerLabPapers

Michael Waskom's starred repositories

flask

The Python micro framework for building web applications.

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scikit-learn

scikit-learn: machine learning in Python

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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 ;)

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ipython

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

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cheat

cheat allows you to create and view interactive cheatsheets on the command-line. It was designed to help remind *nix system administrators of options for commands that they use frequently, but not frequently enough to remember.

CSS-Guidelines

High-level guidelines for writing manageable, maintainable CSS

mpld3

An interactive data visualization tool which brings matplotlib graphics to the browser using D3.

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content

Official content for Harvard CS109

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app-template

The NPR visuals team's opinionated project template for client-side apps.

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Flask-Foundation

A solid foundation for your flask app

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nilearn

Machine learning for NeuroImaging in Python

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lmfit-py

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

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X

The X Toolkit

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Bios8366

Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics

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ipython_extensions

My IPython extensions

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scholmd

Learn how to use scholarly markdown

neurosynth

Neurosynth core tools

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aRrgh

A newcomer's (angry) guide to data types in R

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markdown_science

Learn how to use markdown for science

Will_it_Python

Translating R Data Analyses to Python

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hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

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PySurfer

Cortical neuroimaging visualization in Python

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chapters

The online textbook Probabilistic Models of Cognition

BayesDataAnalysisWithPyMC

Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"

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nsviewer

Neurosynth viewer

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rules

Simple Bayesian rule learning model described in Frank & Tenenbaum (2011), Cognition

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AY250

notebooks for UC Berkeley's Astronomy 250: "Python Computing for Scientific Research" Spring 2012

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StatisticalLearningInPython

Implementing Hastie and Tibshirani's Course in Python

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Ranalysis

analysis scripts for language cog lab

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nipype

Workflows and interfaces for neuroimaging packages

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