OLLAM: Online Learning of Linear Adaptable Models

Pure Julia implementations of single-pass object detection neural networks.

A Julia package for non-negative matrix factorization

Baseline collective classification library

Evolve Flux networks from scratch!

A operator overloading, tape-based, reverse-mode AD

MXNet Julia Package - flexible and efficient deep learning in Julia

Allow use of Theano for automatic differentiation within Mocha, via PyCall

Utilities and abstractions for Machine Learning tasks

Utility package for working with classification targets and label-encodings

Machine learning kernels in Julia.

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Home of the MLJ model registry and tools for model queries and mode code loading

Lightweight package to interface with MLJ

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

Core functionality for the MLJ machine learning framework

A Julia machine learning framework

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

Utility package for accessing common Machine Learning datasets in Julia

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

A set of functions to support the development of machine learning algorithms

Automatic probabilistic programming for scientific machine learning and dynamical models

Evaluating Robustness of Neural Networks with Mixed Integer Programming

Build flexible hierarchical multi-instance learning models.

A Julia library for handling MIDI files

Computer vision models for Flux

Deep Learning for Julia

Julia Machine Learning library

Elegant & Performant Scientific Machine Learning in Julia

Julia package of loss functions for machine learning.

Julia FFI interface to Microsoft's LightGBM package

LIBSVM bindings for Julia

LIBLINEAR bindings for Julia

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

Abstractions for Julia Machine Learning Packages

Base framework library for machine learning packages.

A reliable leaderboard algorithm for machine learning competitions

Koç University deep learning framework.

Machine learning kernels in Julia.