Use Optim to train Flux models and visualize loss landscapes

A flexible neural net training library inspired by fast.ai

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

Utility functions for the FunctionalData package, mainly from the area of computer vision / machine learning

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

Gradient boosting framework for Julia.

Graph Neural Networks in Julia

Hopfield networks in Julia

Julia implementations of the Hilbert-Schmidt Independence Criterion (HSIC)

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Machine Learning in Julia

Julia code for Kaggle's Digit Recognizer competition

KDTrees for julia

Run keras models with a Flux backend

Machine learning kernels in Julia.

Koç University deep learning framework.

A reliable leaderboard algorithm for machine learning competitions

Base framework library for machine learning packages.

Abstractions for Julia Machine Learning Packages

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

LIBLINEAR bindings for Julia

LIBSVM bindings for Julia

Julia FFI interface to Microsoft's LightGBM package

Julia package of loss functions for machine learning.

Elegant & Performant Scientific Machine Learning in Julia

Julia Machine Learning library

Deep Learning for Julia

Computer vision models for Flux

A Julia library for handling MIDI files

Build flexible hierarchical multi-instance learning models.

Evaluating Robustness of Neural Networks with Mixed Integer Programming

Automatic probabilistic programming for scientific machine learning and dynamical models

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

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

Utility package for accessing common Machine Learning datasets in Julia

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

A Julia machine learning framework

Core functionality for the MLJ machine learning framework

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

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