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

Medically-informed data preprocessing for machine learning

Functions for converting XML documents to other formats

Julia wrapper for the REDCap API

Code coverage generation for Julia, implemented in pure Julia

A Julia package for de-identifying CSV data sets

Tools for manipulating Julia manifest files and their associated dependency graphs

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

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

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

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

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Remove potentially sensitive data from trained machine learning models

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