PaulTestaBrown's starred repositories

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:2560Issues:136Issues:200

BDA_R_demos

Bayesian Data Analysis demos for R

Language:HTMLLicense:BSD-3-ClauseStargazers:567Issues:37Issues:1

bookdown-demo

A minimal book example using bookdown

Language:CSSLicense:CC0-1.0Stargazers:503Issues:24Issues:49

STAT545-UBC-original-website

⚠️ Old repository for website of STAT 545 @ University of British Columbia

causalgraphs

R code for causal graph animations

Language:RLicense:GPL-3.0Stargazers:292Issues:16Issues:2

psycho.R

An R package for experimental psychologists

Language:RLicense:NOASSERTIONStargazers:145Issues:9Issues:61

gentle_tensorflow

Gentle introduction to Tensorflow

aml-training

The most recent version of the Applied Machine Learning notes

Language:HTMLLicense:GPL-2.0Stargazers:100Issues:12Issues:3

write

📝 A stream-of-consciousness writing app. Built with React.

rddj-template

A template for bootstrapping reproducible RMarkdown documents for data journalistic purposes.

Language:ShellLicense:MITStargazers:56Issues:5Issues:10

archive_news_cc

Closed Caption Transcripts of News Videos from archive.org 2014--2023

machine_learning

Machine Learning content

Language:RLicense:GPL-3.0Stargazers:14Issues:0Issues:0

datavizf18.classes.andrewheiss.com

BYU MPA course on data visualization

Language:HTMLStargazers:11Issues:3Issues:0

Presidential-Forecasts-2016

Function to scrape, format, and plot forecaster data for the 2016 U.S. Presidential Election

Language:RStargazers:6Issues:3Issues:0

iatv

Python interface to archive.org's TV News Archive

blog

I often post solutions to textbook exercises, including: Bayesian Data Analysis (BDA) by Gelman et al; Causal Inference in Statistics Primer (CISP) by Pearl et al; Purely Functional Data Structures (PFDS) by Okasaki.

Language:HTMLStargazers:6Issues:1Issues:0