Colin Carroll

ridge_map. Ridge plots of ridges

imcmc. Image Markov Chain Monte Carlo

minimc. Just a little MCMC

strava_calendar. Visualizations from Strava data in matplotlib

sampled. Decorator for PyMC3

flask_react_example. JavaScript

ppl-api. A comparison of PPL APIs

couplings. Unbiased MCMC with couplings

pydata_nyc2017. Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"

quantile_dotplot. Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)

callisto. A command line utility to create kernels in Jupyter from virtual environments.

hamiltonian_monte_carlo_talk. Essay on Hamiltonian Monte Carlo in PyMC3

flask_angular_example. a minimal example of a data bound sklearn model

working_ml. Examples of applied machine learning

carpo. Run and time jupyter notebooks

mcmc-adapt. A poster for Scipy 2021

skample. Sample data from sketches

redistricting-pymc3-pycon-2018. Code and notebooks for "Fighting Gerrymandering with PyMC3" from PyCon 2018

ngMathJax. Live rendering with AngularJS and MathJax

yourplotlib. PyData NYC 2019 talk on building a maintainable plotting library

compart. An experimental library for doing computational art.

tidytex. Keep LaTeX folders clean and compile automatically

flymc3. Flask + PyMC3

hmc_tuning_talk. "Pragmatic Probabilistic Programming: Parameter Adaptation in PyMC3" talk from 2019 Probabilistic Programming Summit

driving_fatalities. Case study in state fatality rates using partial pooling with PyMC3

newsreader. Test Reddit scraper

adventofcode. My advent of code excursions.

l2hmc_pymc3. Standalone implementation of sampler from Levy, Hoffman, Sohl-Dickson's paper, in PyMC3

march_madness_viewer. View March Madness 2015 Picks

SGMCMCJax. Lightweight library of stochastic gradient MCMC algorithms written in JAX.

Neural_Network_From_Scratch. Building up a multilayer perceptron class with multiple optimization options in python from scratch as a learning exercise.

arviz_pydata_nyc. Talk on ArviZ at PyData NYC

jshmc. Interactive HMC

probprog_poster. ArviZ poster from probprog 2018 (https://probprog.cc), joint with Austin Rochford

seen_it_news. Code for a hipster twitter bot

prob_prog_experiments. Prototypes in probabilistic programming

intro_ml_talk. Overview of ML

pete. He's just happy to be here

golearn. Experiments in machine learning with Go

tourney_viewer. Viewer for Kaggle March Madness predictions

sde_experiment. An experimenting in simulating time series data.

email_fetcher. Fetches your emails

parametric_graphs. Parametric graphs in d3.js

march_madness. 2015 Kaggle Competition

bayesian_reg_talk. Slides from talk on bayesian regression

lin_reg_essay. Essay from talk slides on linear regression

linear_regression. Linear regression demo

run_mapper. R code for mapping .gpx files