chrishwiggins
.edu: prof@Columbia .org: cofounder, hackNY.org .com: chief data scientist, NYT books: https://bit.ly/3w3aeVV
.edu: columbia ; .org: hackNY ; .com: NYTNYC
Pinned Repositories
all-you-need
i keep trying to explain to students that it's, like, a whole thing now
mise
public mise ( http://en.wikipedia.org/wiki/Mise_en_place )
orly
little scripts to introduce people to each other.
chrishwiggins's Repositories
chrishwiggins/mise
public mise ( http://en.wikipedia.org/wiki/Mise_en_place )
chrishwiggins/orly
little scripts to introduce people to each other.
chrishwiggins/all-you-need
i keep trying to explain to students that it's, like, a whole thing now
chrishwiggins/2024-brown-hacks-hackers
chrishwiggins/mlss2016
talk materials from MLSS2016, Arequipa Peru, Aug 8-9
chrishwiggins/celebrity-tweeter
chrishwiggins/census-dp
Disclosure Avoidance Repository
chrishwiggins/covid-distribution
chrishwiggins/data-ppf-birthdeath
chrishwiggins/APMA4903-COVID-19
chrishwiggins/COVID-19
2019 novel coronavirus repository
chrishwiggins/COVID-20
chrishwiggins/daniel-furman.github.io
Portfolio website ran through GitHub.
chrishwiggins/DRL-for-microgrid-energy-management
"Examining deep reinforcement learning for microgrid management with wind turbines, energy storage, and varied loads, we found notable performance variances across seven algorithms. Enhancements to the Asynchronous Advantage Actor Critic algorithm significantly boost efficiency and economic returns."
chrishwiggins/email_merger
Send customised e-mails
chrishwiggins/Helpful_Lab_Materials
Easily write cover letters for submitting your academic manuscripts
chrishwiggins/idea-ring
chrishwiggins/mackinac_fudge
chrishwiggins/pepperon.ai
Like scikit-learn - but *a lot* worse
chrishwiggins/Portfolio-optimization-using-Markowitz-
chrishwiggins/qbio-book
quantitatitive biology book
chrishwiggins/reduction-manuscript
chrishwiggins/SheetReader
chrishwiggins/skorch
A scikit-learn compatible neural network library that wraps PyTorch
chrishwiggins/soc596_f2016
Computational Social Science (SOC 596), Fall 2016
chrishwiggins/SynC
Supplementary material for paper "SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula"
chrishwiggins/teaspoons
chrishwiggins/test
simple code to generate a ["bubble sheet"](https://en.wikipedia.org/wiki/Optical_mark_recognition#Optical_answer_sheet) answer sheet with N english questions and M math questions, ABCDE bubbles
chrishwiggins/TVBARC
Codes to fit Time-Varying Bayesian Autoregressive models for count data
chrishwiggins/webpage
Sources for the JMLR webpage