Koç University deep learning framework.

A Julia wrapper for TensorFlow

Julia implementation of the scikit-learn API

MXNet Julia Package - flexible and efficient deep learning in Julia

Julia implementation of Decision Tree (CART) and Random Forest algorithms

A Julia package for data clustering

Deep Learning for Julia

Julia Machine Learning library

Utility package for accessing common Machine Learning datasets in Julia

Julia package of loss functions for machine learning.

Machine learning kernels in Julia.

Machine learning kernels in Julia.

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

A Julia package for non-negative matrix factorization

LIBSVM bindings for Julia

A neural network in Julia

Heterogeneous ensemble learning for Julia.

Differentially private synthetic data

A deep learning library for Julia based on Caffe

Machine Learning in Julia

Machine learning for sequential/streaming data

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

Extreme Learning Machine in julia

BayesianNonparametrics in julia

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

Utility package for working with classification targets and label-encodings

KDTrees for julia

"Maybe we have our own magic."

Gradient boosting framework for Julia.

A reliable leaderboard algorithm for machine learning competitions

Truncated singular value decomposition with partial reorthogonalization

Abstractions for Julia Machine Learning Packages

Utilities to efficiently track learning curves or other optimization information

Run keras models with a Flux backend

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

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

Hopfield networks in Julia

A Julia package for data discretization and label maps

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Uniform interface for machine learning in Julia