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.

OpenAI's Gym binding for Julia

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

Utilities and abstractions for Machine Learning tasks

Transforms and pipelines with tabular data in Julia

LIBSVM bindings for Julia

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

OpenAI API wrapper for Julia

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

Utility package for working with classification targets and label-encodings

Static transforms, activation functions, and other implementations of LearnBase abstractions

Utilities to efficiently track learning curves or other optimization information

Implementations of stochastic optimization algorithms and solvers

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

Density ratio estimation in Julia

Julia package of regularization functions for machine learning

Metrics for scoring machine learning models in Julia

Abstractions for Julia Machine Learning Packages

Distances between heterogeneous tabular data

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A Julia package providing access to the OpenAI Gym API

A playground for implementations of unconstrained continuous full-batch optimization algorithms

Base package for general data transformations in Julia

Generic definitions of objective functions using abstractions from LearnBase

Rank aggregation in Julia

Julia API for general data transformations