Utility package for accessing common Machine Learning datasets in Julia

Abstractions, algorithms, and utilities for reinforcement learning in Julia

Julia package of loss functions for machine learning.

Utilities and abstractions for Machine Learning tasks

Transforms and pipelines with tabular data in Julia

Utility package for generating, loading, splitting, and processing Machine Learning datasets

OpenAI API wrapper for Julia

LIBSVM bindings for Julia

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

Arcade Learning Environment (ALE) wrapped as a Reinforce.jl environment

Density ratio estimation in Julia

Utility package for working with classification targets and label-encodings

Utilities to efficiently track learning curves or other optimization information

A generic and modular framework for building custom iterative algorithms in Julia

Julia package of regularization functions for machine learning

Distances between heterogeneous tabular data

Abstractions for Julia Machine Learning Packages

LIBLINEAR bindings for Julia

Traits for data science

Base package for general data transformations in Julia

Statistical learning models for tabular data

Rank aggregation in Julia

Julia API for general data transformations

Column selectors for tables