Carly Williams (carlyw)

carlyw

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Location:RI, USA

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Carly Williams's starred repositories

every-programmer-should-know

A collection of (mostly) technical things every software developer should know about

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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kops

Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management

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tidytuesday

Official repo for the #tidytuesday project

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rstudio

RStudio is an integrated development environment (IDE) for R

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broom

Convert statistical analysis objects from R into tidy format

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mastering-shiny

Mastering Shiny: a book

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deep_learning_and_the_game_of_go

Code and other material for the book "Deep Learning and the Game of Go"

usethis

Set up commonly used 📦 components

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deep-learning-with-r-notebooks

R notebooks for the code samples of the book "Deep Learning with R"

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bigtop

Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components.

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parsnip

A tidy unified interface to models

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DenseNet-Keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

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recipes

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

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yardstick

Tidy methods for measuring model performance

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RStudioConf2019Slides

Links to slides for rstudio::conf 2019

rsample

Classes and functions to create and summarize resampling objects

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BRRR

Rap adlibs in R.

template

A template for data analysis projects structured as R packages (or not)

rstudio-conf-2019

Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019

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arm-workshop-rsc2019

Materials for the rstudio::conf 2019 Advanced R Markdown workshop

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tidyposterior

Bayesian comparisons of models using resampled statistics

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tidyverse-cookbook

Code recipes for doing data science with R's tidyverse

rpart

Recursive Partitioning and Regression Trees

2019-01-17-rstudioconf

Slides from my talk, "Box plots: a case study in debugging and perseverance" presented at rstudio::conf 2019

mcpt_numba

Code and examples for "Fast Feature Evaluation with MCPT and Numba" talk

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deeptriangle

DeepTriangle: A Deep Learning Approach to Loss Reserving

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