Machine Learning Packages

LIBLINEAR.jl11LIBLINEAR bindings for Julia

MochaTheano.jl0Allow use of Theano for automatic differentiation within Mocha, via PyCall

LossFunctions.jl137Julia package of loss functions for machine learning.

ValueHistories.jl29Utilities to efficiently track learning curves or other optimization information

TensorFlow.jl866A Julia wrapper for TensorFlow

Merlin.jl144Deep Learning for Julia

DecisionTrees.jl3

Flimsy.jl1Gradient based Machine Learning for Julia

HSIC.jl6Julia implementations of the HilbertSchmidt Independence Criterion (HSIC)

MLDataUtils.jl102Utility package for generating, loading, splitting, and processing Machine Learning datasets

ScikitLearn.jl520Julia implementation of the scikitlearn API https://cstjean.github.io/ScikitLearn.jl/dev/

ScikitLearnBase.jl9Abstract interface of ScikitLearn.jl

LearnBase.jl17Abstractions for Julia Machine Learning Packages

MLDatasets.jl204Utility package for accessing common Machine Learning datasets in Julia

ApproxBayes.jl48Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

BayesianNonparametrics.jl30BayesianNonparametrics in julia

MLLabelUtils.jl31Utility package for working with classification targets and labelencodings

ParticleFilters.jl42Simple particle filter implementation in Julia  works with POMDPs.jl models or others.

LearningStrategies.jl28A generic and modular framework for building custom iterative algorithms in Julia

CombineML.jl41Create ensembles of machine learning models from scikitlearn, caret, and julia

Nabla.jl65A operator overloading, tapebased, reversemode AD

MLDataPattern.jl61Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

TheDataMustFlow.jl3Julia tools for feeding tabular data into machine learning.

CartesianGeneticProgramming.jl69Cartesian Genetic Programming for Julia

PredictMD.jl17Uniform interface for machine learning in Julia

NetworkLearning.jl3Baseline collective classification library

MIPVerify.jl104Evaluating Robustness of Neural Networks with Mixed Integer Programming

EmpiricalRiskMinimization.jl3Empirical Risk Minimization in Julia.

JuML.jl36Machine Learning in Julia

BoltzmannMachines.jl38A Julia package for training and evaluating multimodal deep Boltzmann machines

FluxJS.jl43I heard you like compile times

AugmentedGaussianProcesses.jl132Gaussian Process package based on data augmentation, sparsity and natural gradients

Metalhead.jl297Computer vision models for Flux

Mill.jl74Multiple Instance Learning Library is build on top of Flux.jl aimed to prototype flexible multiinstance learning models.

Keras.jl20Run keras models with a Flux backend

Embeddings.jl73Functions and data dependencies for loading various word embeddings (Word2Vec, FastText, GLoVE)

TransformVariables.jl64Transformations to contrained variables from ℝⁿ.

ForneyLab.jl135Julia package for automatically generating Bayesian inference algorithms through message passing on Forneystyle factor graphs.

Yota.jl145Reversemode automatic differentiation in Julia

BrainFlow.jl935BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
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