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University of Washington
- Seattle
-
21:24
(UTC -08:00) - http://faculty.washington.edu/bmarwick/
- https://orcid.org/0000-0001-7879-4531
- @benmarwick@mastodon.social
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Starred repositories
Python Data Science Handbook: full text in Jupyter Notebooks
Data and code behind the articles and graphics at FiveThirtyEight
Book about interpretable machine learning
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Text and supporting code for Think Stats, 2nd Edition
Beaker Extensions for Jupyter Notebook
Multilingual word vectors in 78 languages
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Tutorials and information on the Julia language for MIT numerical-computation courses.
A library for creating complex UpSet plots with ggplot2 geoms
A SAM-based model for instance segmentation of images of grains
JupyterLite demo deployed to GitHub Pages 🚀
Data Analysis with Bootstrapped ESTimation
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
Visualizations based on best open science practices.
Using R with Jupyter / RStudio on Binder
Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
Content for my Astronomy 599 Course: Intro to scientific computing in Python
Python and OpenCV based object tracking software
Supporting infrastructure to run scientific experiments without a scientific workflow management system.
Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, at Columbia University in Fall 2020, and again at UC Berkeley in Summer 2…
Computational reproducibility using Continuous Integration to produce verifiable end-to-end runs of scientific analysis.
Notebooks containing R code from Richard McElreath's Statistical Rethinking
Code to reproduce analysis done in the article Computational Grounded Theory: A Methodological Framework
Plos in Computational Biology paper related with github for researchers, code, source and document
Python Geospatial Data Analysis Course offered at UW during winter 2020
Essential skills for reproducible research computing
Website for Research Computing in Earth Sciences