Alexander L. Hayes (hayesall)

hayesall

Geek Repo

Company:Indiana University

Location:Bloomington, IN, USA

Home Page:https://hayesall.com

Github PK Tool:Github PK Tool


Organizations
aucroc
iuprohealth
scikit-learn-contrib
srlearn
starling-lab

Alexander L. Hayes's repositories

awesome-bayes-nets

โš—๏ธ A curated list of Books, Research Papers, and Software for Bayesian Networks.

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ffscraper

Yet another set of scraping tools for FanFiction.Net

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bn-rule-extraction

Rule Extraction from Bayesian Networks

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ExportPublic.jl

๐Ÿ™Š ExportPublic.jl: Easily hide your implementation details

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nuMoM2b_preprocessing

ฯ† Preprocessing scripts to create reproducible partitions of the nuMoM2b data set. Part of the Indiana University Precision Health Initiative.

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babybear

๐Ÿผ It's like pandas, but tiny.

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diabetes-time-series

Re-implementation of the UCI Diabetes Dataset from AIM 1994

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bottle-breaker

๐Ÿ’ฅ slaps roof of app // this bad boy can fit so many security exploits in it

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coreui-icons

CoreUI Free Icons - Premium designed free icon set with marks in SVG, Webfont and raster formats

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cube-roots-of-unity

ยฉ 1994 Scott Burns, Urbana, IL, design #44

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dotfiles-original

Thoughts about bootstrapping an Ubuntu/Debian system

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draw-triangles

The script I keep forgetting about that helps me draw teaser images for my website.

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ExtracirricularClasses

๐Ÿ“š๐Ÿ“š๐Ÿ“š Implementations from online courses or books.

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flask

The Python micro framework for building web applications.

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Food-Tracking

Notes from the FoodPrint food-tracking substudy.

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hayesall

โš—๏ธ๐Ÿ”ฎ๐ŸŒŸ Magic Profile README ๐ŸŒŸ๐Ÿ”ฎโš—๏ธ

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hayesall.github.io

Personal website https://hayesall.com/

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ilp-experiments

Experimentation framework for Popper

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imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

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iuprohealth.github.io

Indiana University ProHealth Website (pre-alpha)

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LoopVectorization.jl

Macro(s) for vectorizing loops.

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mdBook

Create book from markdown files. Like Gitbook but implemented in Rust

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nnde

nnde is a package of Python modules which implement a set of neural networks which solve ordinary and partial differential equations. This code is based on the previous package, nnode.

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nnde_demos

Demonstration code for the nnde project

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polypharmacy-ddi-synergy-survey

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring."

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probably-something-on-netlify

๐Ÿ•ธ๏ธ trying the astro + netlify build pattern

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repls

โŒจ๏ธ source the-thing

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reveal.js-copycode

A simple plugin that automatically shows a 'copy' button in code blocks in Reveal.js

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RoofWorldGUI

Inferring 3D structure from 2D graphs.

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scikit-learn

scikit-learn: machine learning in Python

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