A neural network in Julia

Differentially private synthetic data

Simple particle filter implementation in Julia - works with POMDPs.jl models or others.

Heterogeneous ensemble learning for Julia.

I heard you like compile times

Create ensembles of machine learning models from scikit-learn, caret, and julia

Flexible data augmentation library for machine and deep learning

A Julia package for training and evaluating multimodal deep Boltzmann machines

Evolve Flux networks from scratch!

Truncated singular value decomposition with partial reorthogonalization

Machine Learning in Julia

Lightweight package to interface with MLJ

Workshop materials for training in scientific computing and scientific machine learning

Machine learning for sequential/streaming data

Automatic probabilistic programming for scientific machine learning and dynamical models

A deep learning library for Julia based on Caffe

Utility package for working with classification targets and label-encodings

BayesianNonparametrics in julia

Utilities to efficiently track learning curves or other optimization information

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

Extreme Learning Machine in julia

KDTrees for julia

Gradient boosting framework for Julia.

Run keras models with a Flux backend

A Julia package for data discretization and label maps

Abstractions for Julia Machine Learning Packages

Uniform interface for machine learning in Julia

A reliable leaderboard algorithm for machine learning competitions

Julia code for the paper S. Gu, L. Zhang, W. Zuo, and X. Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014

DEPRECATED: Regularised Empirical Risk Minimisation Framework (SVMs, LogReg, Linear Regression) in Julia

Hopfield networks in Julia

LIBLINEAR bindings for Julia

Abstract interface of ScikitLearn.jl

Exact Soft Confidence-Weighted Learning

OLLAM: Online Learning of Linear Adaptable Models

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

Bayesian Non-negative Matrix Factorization

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

Loader of svmlight / liblinear format files

Empirical Risk Minimization in Julia.