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Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net
A Flexible and Powerful Parameter Server for large-scale machine learning
Forecasting Functions for Time Series and Linear Models
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
Google Spreadsheets R API
Automate Data Exploration and Treatment
H2Oai GPU Edition
R package of data and code behind the stories and interactives at FiveThirtyEight
High performance Python GLMs with all the features!
Python implementation of elastic-net regularized generalized linear models
An R Port of Stata's 'margins' Command