Uniform interface for machine learning in Julia

Sampling-based methods for correcting for class imbalance in two-category classification problems

Prototype of abstract multiple inheritance in Julia via extensible (mutable) type unions

Enforce the rule that all pull requests must increase the version number

Functions for converting XML documents to other formats

Julia frontend for the REDCap API

Code coverage generation for Julia, implemented in pure Julia

A Julia package for de-identifying CSV data sets

Provides the ExistingProcessManager cluster manager for telling Distributed about Julia worker processes that you have already started

Ensure that you are installing the latest version of a Julia package

Abstract types, traits, and functions that define the PredictMD application programming interface (API)

Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)

Remove potentially sensitive data from trained machine learning models

Automatically delete old pull request previews from Documenter, Franklin, etc.

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